Package: ants Version: 1.9.2+svn680.dfsg-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35476 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libinsighttoolkit3.18, libstdc++6 (>= 4.4.0) Suggests: fsl, gridengine-client Homepage: http://www.picsl.upenn.edu/ANTS/ Priority: extra Section: science Filename: pool/main/a/ants/ants_1.9.2+svn680.dfsg-3~nd60+1_i386.deb Size: 11186584 SHA256: 7ae9e9793b7207f0b88b4da282ab4f0a56dd8370e841d23228cb3e300d2a0094 SHA1: a213247a37a4e03b681f55c14f627f56ec29e035 MD5sum: bdc839f7d2474a49820bbb59f8a65d19 Description: advanced normalization tools for brain and image analysis Advanced Normalization Tools (ANTS) is an ITK-based suite of normalization, segmentation and template-building tools for quantitative morphometric analysis. Many of the ANTS registration tools are diffeomorphic, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). Package: arno-iptables-firewall Version: 1.9.2.k-3~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 844 Depends: iptables (>= 1.2.11), gawk, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, iproute Recommends: lynx, dnsutils Homepage: http://rocky.eld.leidenuniv.nl/ Priority: optional Section: net Filename: pool/main/a/arno-iptables-firewall/arno-iptables-firewall_1.9.2.k-3~squeeze.nd1_all.deb Size: 132476 SHA256: b002efbc460e228ef300147169187793cc9cc8b36e7acf807567d35aa8d56099 SHA1: 7945add5a3b0968d8deeac27bb6d5bdf667ff03a MD5sum: ebcb9a6d4f275258f76616360ff739d0 Description: single- and multi-homed firewall script with DSL/ADSL support Unlike other lean iptables frontends in Debian, arno-iptables-firewall will setup and load a secure, restrictive firewall by just asking a few question. This includes configuring internal networks for internet access via NAT and potential network services (e.g. http or ssh). . However, it is in no way restricted to this simple setup. Some catch words of additional features, that can be enabled in the well documented configuration file are: DSL/ADSL, Port forwarding, DMZ's, portscan detection, MAC address filtering. Package: autotools-dev Version: 20100122.1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 216 Depends: neurodebian-popularity-contest Enhances: cdbs, debhelper Homepage: http://savannah.gnu.org/projects/config/ Priority: optional Section: devel Filename: pool/main/a/autotools-dev/autotools-dev_20100122.1~nd60+1_all.deb Size: 72966 SHA256: dee3f923f4e6856aac8efa5aa8c890af4466679721b9a2dd03977c7bddf0d857 SHA1: 2c2a0419c7324111348c91772971ffef898ef835 MD5sum: eab0255d3b1d7620acccb2f6e01b667e Description: Update infrastructure for config.{guess,sub} files This package installs an up-to-date version of config.guess and config.sub, used by the automake and libtool packages. It provides the canonical copy of those files for other packages as well. . It also documents in /usr/share/doc/autotools-dev/README.Debian.gz best practices and guidelines for using autoconf, automake and friends on Debian packages. This is a must-read for any developers packaging software that uses the GNU autotools, or GNU gettext. . Additionally this package provides seamless integration into Debhelper or CDBS, allowing maintainers to easily update config.{guess,sub} files in their packages. Package: biosig-tools Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 Depends: neurodebian-popularity-contest, libbiosig0, libc6 (>= 2.0), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/biosig-tools_0.96.3+svn2677-3~nd60+1_i386.deb Size: 14182 SHA256: f5845b2d86be74e4ed3c64abd962aed7013d566f3fcd8b0bd1b46721939504aa SHA1: 442fe1c0d9e0576c3c36bdd8a40fbdf6321d400c MD5sum: b99760e629c35365273d7fe52f5df11e Description: format conversion tools for biomedical data formats Based on BioSig library, this package provides command line tools, such as . - save2gdf: converter between different file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF, BDF, CWFB. save2gdf can be also used to upload or retrieve data from a bscs server. Package: caret Version: 5.6.4~dfsg.1-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 19160 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.2.1), libminc2-1, libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.4.0), libvtk5.4, zlib1g (>= 1:1.2.3.3.dfsg) Recommends: qt-assistant-compat Suggests: caret-data (>= 5.6.2~dfsg.1~) Homepage: http://brainvis.wustl.edu/wiki/index.php/Caret:About Priority: optional Section: science Filename: pool/main/c/caret/caret_5.6.4~dfsg.1-2~nd60+1_i386.deb Size: 7486348 SHA256: 030265a9141ad7c2f2a8cc4a431f7dff1e0203cdc9fd48e0e1d6e4ee594f5964 SHA1: bed3495af517961cd4922c7b174a263841c4e74f MD5sum: 4599d557e86d92e099469c254710cba6 Description: Computerized Anatomical Reconstruction and Editing Toolkit This software allows for creating, viewing and manipulating surface reconstructions of the cerebral and cerebellar cortex, viewing volumes and for displaying experimental data on the surfaces and volumes. While Caret is primarily a GUI application with 'caret_command' there is also a versatile command line tool, that allows access to a substantial proportion of Caret's functionality. . Caret can download and use stereotaxic atlases (human, monkey, mouse and rat) from an open online database. . Some functionality of Caret is only available when additional data files, provided by the caret-data package, are available. This includes: . - Map volumes to surface via PALS atlas - Multi-resolution morphing - Projection of foci via PALS atlas - Surface-based registration - Surface flattening . Currently the caret-data package is only available from the NeuroDebian repository. Please see http://neuro.debian.net for more information. Package: cde Version: 0.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 744 Depends: neurodebian-popularity-contest, libc6 (>= 2.1) Homepage: http://www.stanford.edu/~pgbovine/cdepack.html Priority: optional Section: utils Filename: pool/main/c/cde/cde_0.1-1~nd60+1_i386.deb Size: 303216 SHA256: 06e06f135a6d128d285699a99e21afdde4238e3398374ef5d8bd599cdc4f14c1 SHA1: 119a84c4ea202000e9bea4b16e1c8141a1e63878 MD5sum: 14f09fcf3df6201a7d5032cad6b4e296 Description: package everything required to execute a Linux command on another computer CDEpack (Code, Data, and Environment packaging) is a tool that automatically packages up everything required to execute a Linux command on another computer without any installation or configuration. A command can range from something as simple as a command-line utility to a sophisticated GUI application with 3D graphics. The only requirement is that the other computer have the same hardware architecture (e.g., x86) and major kernel version (e.g., 2.6.X) as yours. CDEpack allows you to easily run programs without the dependency hell that inevitably occurs when attempting to install software or libraries. . Typical use cases: 1. Quickly share prototype software 2. Try out software in non-native environments 3. Perform reproducible research 4. Instantly deploy applications to cluster or cloud computing 5. Submit executable bug reports 6. Package class programming assignments 7. Easily collaborate on coding projects Package: cgroup-bin Source: libcgroup Version: 0.37.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 232 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcgroup1 Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/cgroup-bin_0.37.1-1~nd60+1_i386.deb Size: 62598 SHA256: 70e0e4d28c391a4482ab1d214386ef80bb26e4b12444ae82afee075155e3f1ec SHA1: 027c121664153bfa988832cb0a3f41133e386692 MD5sum: c84ca171c7742baa2c6794d319a147d0 Description: Tools to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . These tools help manipulate, control, administrate and monitor control groups and the associated controllers. Package: cmtk Version: 2.1.3-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10008 Depends: neurodebian-popularity-contest, libbz2-1.0, libc6 (>= 2.7), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.2.1), libmxml1, libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libsqlite3-0 (>= 3.7.3), libstdc++6 (>= 4.4.0), libtiff4, zlib1g (>= 1:1.1.4) Recommends: sri24-atlas Suggests: numdiff Homepage: http://www.nitrc.org/projects/cmtk/ Priority: extra Section: science Filename: pool/main/c/cmtk/cmtk_2.1.3-1~nd60+1_i386.deb Size: 3693610 SHA256: 08828f48089391c0ae12bda08e4b0ac9a142017dac0d5dbc4bf791c44cafd37d SHA1: d4f10cb060eff2c8df99674b8b22a5496c34224c MD5sum: ae2a3d22b0e3876f860afa539f236a8f Description: Computational Morphometry Toolkit A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. . The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear regression). Package: condor Version: 7.7.5~dfsg.1-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9920 Depends: neurodebian-popularity-contest, debconf (>= 0.5) | debconf-2.0, libc6 (>= 2.8), libcgroup1 (>= 0.37~), libclassad3, libcomerr2 (>= 1.01), libcurl3 (>= 7.16.2-1), libexpat1 (>= 1.95.8), libgcc1 (>= 1:4.1.1), libglobus-callout0, libglobus-common0, libglobus-ftp-control1, libglobus-gass-transfer2, libglobus-gram-client3, libglobus-gram-protocol3, libglobus-gsi-callback0, libglobus-gsi-cert-utils0, libglobus-gsi-credential1, libglobus-gsi-openssl-error0, libglobus-gsi-proxy-core0, libglobus-gsi-proxy-ssl1, libglobus-gsi-sysconfig1, libglobus-gss-assist3, libglobus-gssapi-error2, libglobus-gssapi-gsi4, libglobus-io3, libglobus-openssl-module0, libglobus-rsl2, libglobus-xio0, libgssapi-krb5-2 (>= 1.6.dfsg.2), libk5crypto3 (>= 1.6.dfsg.2), libkrb5-3 (>= 1.7dfsg), libkrb5support0 (>= 1.7dfsg~beta2), libldap-2.4-2 (>= 2.4.7), libltdl7 (>= 2.2.6b), libpcre3 (>= 7.7), libssl0.9.8 (>= 0.9.8m-1), libstdc++6 (>= 4.4.0), libuuid1 (>= 2.16), libvirt0 (>= 0.5.0), libxml2 (>= 2.6.27), zlib1g (>= 1:1.1.4), perl, adduser, libdate-manip-perl Recommends: dmtcp Priority: extra Section: science Filename: pool/main/c/condor/condor_7.7.5~dfsg.1-2~nd60+1_i386.deb Size: 3982876 SHA256: 0a17fd045fd32babff85ce999c71d8e84becc52e991c158a2d511476f191bf84 SHA1: caeaab70168bed17bfbda4eeb6d5dbe29aceec1e MD5sum: 94ff1ddbb73639de1a9dd81000b7bb55 Description: workload management system Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor, Condor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing system, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor can transfer the job's data files on behalf of the user. . The Debian package uses Debconf to determine an appropriate initial configuration for a machine that shall join an existing Condor pool, and moreover, allows creating a "Personal" (single machine) Condor pool automatically. Package: condor-dbg Source: condor Version: 7.7.5~dfsg.1-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 33372 Depends: neurodebian-popularity-contest, condor (= 7.7.5~dfsg.1-2~nd60+1) Priority: extra Section: debug Filename: pool/main/c/condor/condor-dbg_7.7.5~dfsg.1-2~nd60+1_i386.deb Size: 13085084 SHA256: f7f257609aa6ec7a288881550291ac84cf52604e84f2fd988126c141a24e1216 SHA1: 607de138bd9fdf6997b30753d944cf40f638e3f7 MD5sum: eac270b9358eaece8426cc565b88f85f Description: debugging symbols for Condor Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor, Condor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing system, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor can transfer the job's data files on behalf of the user. . This package provides the debugging symbols for Condor. Package: condor-dev Source: condor Version: 7.7.5~dfsg.1-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1096 Depends: neurodebian-popularity-contest Priority: extra Section: devel Filename: pool/main/c/condor/condor-dev_7.7.5~dfsg.1-2~nd60+1_i386.deb Size: 323902 SHA256: 69b277a4660a91fab78398e18daa3e1d7e0ad88e4f9ba5ea2f647d9c46644c82 SHA1: 96d1a03d0388a114d94d3037d74e6b231a082d0a MD5sum: bfd374013ebceeaaf3f8df27611b69ef Description: development files for Condor Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor, Condor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing system, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor can transfer the job's data files on behalf of the user. . This package provides headers and libraries for development of Condor add-ons. Package: condor-doc Source: condor Version: 7.7.5~dfsg.1-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5972 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/c/condor/condor-doc_7.7.5~dfsg.1-2~nd60+1_all.deb Size: 1277028 SHA256: dbd49b3e2a4584b46acd43b9dbac6c31ed0890256b7ae6e7355adc522986a8fe SHA1: 9aba8e474593399abd146734a1d934d4605122d5 MD5sum: b90c478686ed8c09cb95fd7ce2361e55 Description: documentation for Condor Like other full-featured batch systems, Condor provides a job queueing mechanism, scheduling policy, priority scheme, resource monitoring, and resource management. Users submit their serial or parallel jobs to Condor, Condor places them into a queue. It chooses when and where to run the jobs based upon a policy, carefully monitors their progress, and ultimately informs the user upon completion. . Unlike more traditional batch queueing system, Condor can also effectively harness wasted CPU power from otherwise idle desktop workstations. Condor does not require a shared file system across machines - if no shared file system is available, Condor can transfer the job's data files on behalf of the user. . This package provides Condor's documentation in HTML and PDF format, as well as configuration and other examples. Package: connectomeviewer Version: 2.0.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1884 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-cfflib (>= 2.0.5), python-networkx (>= 1.4), python-nibabel, python-numpy (>= 1.3.0), python-scipy, python-chaco, mayavi2, ipython Recommends: python-nipype, python-dipy, python-matplotlib, python-qscintilla2 Suggests: nipy-suite Homepage: http://www.connectomeviewer.org Priority: extra Section: python Filename: pool/main/c/connectomeviewer/connectomeviewer_2.0.0-1~nd60+1_all.deb Size: 1354956 SHA256: b0950f7c42d584f3476f79920cdbfcc342d10563f1b06b88acaab7263c36add6 SHA1: a713af7f9f16e3b54e22916ee6498bdaafebd798 MD5sum: 02d405b1f02ad49b4c2192af7ee48f1b Description: Interactive Analysis and Visualization for MR Connectomics The Connectome Viewer is a extensible, scriptable, pythonic research environment for visualization and (network) analysis in neuroimaging and connectomics. . Employing the Connectome File Format, diverse data types such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The Connectome Viewer is part of the MR Connectome Toolkit. Package: coop-computing-tools Source: cctools Version: 3.4.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3672 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfuse2 (>= 2.8.1), libglobus-common0, libglobus-gss-assist3, libglobus-gssapi-gsi4, libkrb5-3 (>= 1.6.dfsg.2), libmysqlclient16 (>= 5.1.21-1), libncurses5 (>= 5.7+20100313), libopenmpi1.3, libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), python Suggests: coop-computing-tools-doc, condor, gridengine-client Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: utils Filename: pool/main/c/cctools/coop-computing-tools_3.4.2-1~nd60+1_i386.deb Size: 1375288 SHA256: edaf810ffa202523ab1875a59c7f666dd8885e3c5d95fb6c026c01c68c61821f SHA1: c7fb751870498da2a430d878f6ea61992c0ffcc8 MD5sum: 544c4a30e40711a8d88a0949d109fb2f Description: cooperative computing tools This is a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. This includes: . * Chirp: A personal filesystem and I/O protocol that allows unprivileged users to share space securely, efficiently, and conveniently. When combined with Parrot, Chirp allows users to create custom wide-area distributed filesystems. * Parrot: A transparent user-level virtual filesystem that allows any ordinary program to be attached to a remote storage device such as an FTP server or a Chirp server. * Makeflow: A workflow system for parallel and distributed computing that uses a language very similar to Make. * Work Queue: A system and API for building master-worker style programs that scale up to thousands of processors. * All Pairs: A computational abstraction for running very large Cartesian products. * Wavefront: A computational asbtraction for running very large dynamic programming problems. * The Fault Tolerant Shell: A high-level programming language that allows users to combine the ease of shell scripting, the power of distributed programming, and the precision of compiled languages. Basically, parallel programming and exception handling for scripts. Package: coop-computing-tools-dev Source: cctools Version: 3.4.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1180 Depends: neurodebian-popularity-contest Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: libs Filename: pool/main/c/cctools/coop-computing-tools-dev_3.4.2-1~nd60+1_i386.deb Size: 232124 SHA256: d014f372c845a2c7d9e870c1b79e7871eab8c15d8099e8439a82ec6ed151134c SHA1: 2a06669a050f8e444e2d81ba11a61e87c0e872f3 MD5sum: 9412138d91f31641b1dbe14b0744587a Description: libraries and header files for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides static libraries and header files for development. Package: coop-computing-tools-doc Source: cctools Version: 3.4.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2676 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: doc Filename: pool/main/c/cctools/coop-computing-tools-doc_3.4.2-1~nd60+1_all.deb Size: 303978 SHA256: 02f046f23d55becc2755a8ca914586b2de0d9bf606ed29a3575b3194e7b2eb5c SHA1: 9ad253f98144263653d52f26bdf39864f45c1dd6 MD5sum: c7af39ed432c13e3360d6f131d4dcccb Description: documentation for coop-computing-tools These tools are a collection of software that help users to share resources in a complex, heterogeneous, and unreliable computing environment. . This package provides the documentation (manual and API reference) in HTML format. Package: cython Version: 0.13-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4580 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python2.6, libc6 (>= 2.3.6-6~) Suggests: gcc Homepage: http://cython.org/ Priority: optional Section: python Filename: pool/main/c/cython/cython_0.13-1~nd60+1_i386.deb Size: 1117358 SHA256: 1c0d771c94c4672bfe3002e50e45071803cc46fd3e965ef38c9936aeaf5dd911 SHA1: fe682d833f41d773c6efc835fa3ffd2a12160580 MD5sum: 0e0639397070f5d486c97ff43efb81ad Description: C-Extensions for Python Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. . The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. . This makes Cython the ideal language for wrapping for external C libraries, and for fast C modules that speed up the execution of Python code. Python-Version: 2.5, 2.6 Package: cython-dbg Source: cython Version: 0.13-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7672 Depends: python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), libc6 (>= 2.3.6-6~), cython (= 0.13-1~nd60+1) Suggests: gcc Homepage: http://cython.org/ Priority: extra Section: debug Filename: pool/main/c/cython/cython-dbg_0.13-1~nd60+1_i386.deb Size: 2920676 SHA256: 52e24849159ed4815448591b67613978d797d1b0ef8c15e7e840ff3a8c168147 SHA1: 4c858cd3133a6fc782aab05a5166ac20a0b082f2 MD5sum: 0ebc710c64b47d7c5c297abd63577833 Description: C-Extensions for Python (Debug Build of Cython) This package contains Cython libraries built against versions of Python configured with --pydebug. Python-Version: 2.5, 2.6 Package: debootstrap Version: 1.0.26+squeeze1+nd1 Architecture: all Maintainer: Debian Install System Team Installed-Size: 228 Depends: wget Recommends: gnupg Priority: extra Section: admin Filename: pool/main/d/debootstrap/debootstrap_1.0.26+squeeze1+nd1_all.deb Size: 57916 SHA256: 2cccf11a5f3628206d9631daa7b998d006d8743389619549da0cbc6f6a42b391 SHA1: 22babafcdca6b8fe1ede489f011463c6808e2ff3 MD5sum: 2b529b4bc14826a655dd7ce980d18a56 Description: Bootstrap a basic Debian system debootstrap is used to create a Debian base system from scratch, without requiring the availability of dpkg or apt. It does this by downloading .deb files from a mirror site, and carefully unpacking them into a directory which can eventually be chrooted into. Package: debruijn Version: 1.5-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 68 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfftw3-3, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://www.cfn.upenn.edu/aguirre/wiki/public:de_bruijn_software Priority: extra Section: science Filename: pool/main/d/debruijn/debruijn_1.5-1~nd60+1_i386.deb Size: 33404 SHA256: 14e482aea474a0bc74ee743992f8b294c3b26dee7ac16ef67c5d246f311d1452 SHA1: ae6af221cd90e3445cbe3c5012b439c4de52ce51 MD5sum: 5ceef64e5fc3e2e14e400905f70fbc76 Description: De Bruijn cycle generator Stimulus counter-balance is important for many experimental designs. This command-line software creates De Bruijn cycles, which are pseudo-random sequences with arbitrary levels of counterbalance. "Path-guided" de Bruijn cycles may also be created. These sequences encode a hypothesized neural modulation at specified temporal frequencies, and have enhanced detection power for BOLD fMRI experiments. Package: dicomnifti Version: 2.30.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 440 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libnifti2, libstdc++6 (>= 4.4.0) Homepage: http://cbi.nyu.edu/software/dinifti.php Priority: optional Section: science Filename: pool/main/d/dicomnifti/dicomnifti_2.30.0-1~nd60+1_i386.deb Size: 149366 SHA256: 48e6aaed01889805324fa81da79d3b874e2f4d1c5746e67d9bfe151aaa9992e5 SHA1: 202279326ba47e4829a7eed7435d8241570ccb46 MD5sum: 41da0faa1c439ef531a6a17e6939d8c6 Description: converts DICOM files into the NIfTI format The dinifti program converts MRI images stored in DICOM format to NIfTI format. The NIfTI format is thought to be the new standard image format for medical imaging and can be used with for example with FSL, AFNI, SPM, Caret or Freesurfer. . dinifti converts single files, but also supports fully automatic batch conversions of complete dicomdirs. Additionally, converted NIfTI files can be properly named, using image series information from the DICOM files. Package: dmtcp Version: 1.2.4-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1908 Depends: neurodebian-popularity-contest, libmtcp1, libc6 (>= 2.9), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: utils Filename: pool/main/d/dmtcp/dmtcp_1.2.4-1~nd60+1_i386.deb Size: 809752 SHA256: bd47b95f96ee1354597d96a804252380fb5a68a8eb298ea6c20f53815b0d9937 SHA1: dcab96738622a3fa028f98102f066e1b7df2c379 MD5sum: 271c5baefd7b660449744a4826d26772 Description: Checkpoint/Restart functionality for Linux processes DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains DMTCP binaries. Package: dmtcp-dbg Source: dmtcp Version: 1.2.4-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10688 Depends: neurodebian-popularity-contest, dmtcp Homepage: http://dmtcp.sourceforge.net Priority: extra Section: debug Filename: pool/main/d/dmtcp/dmtcp-dbg_1.2.4-1~nd60+1_i386.deb Size: 3856186 SHA256: a35481e210142c4a73fe30c1e5e4bfd9d2b4df677f40b6baf7a557f9e33ff53e SHA1: be8b9e1a6498a6ae277cd5d6e6f8d440292f3efa MD5sum: 4042042c98d4951ca46012b905f93881 Description: Debug package for dmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package contains debugging symbols for DMTCP. Package: eatmydata Source: libeatmydata Version: 26-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3) Provides: libeatmydata Homepage: https://launchpad.net/libeatmydata Priority: optional Section: utils Filename: pool/main/libe/libeatmydata/eatmydata_26-2~nd60+1_i386.deb Size: 8010 SHA256: ccaa8f8343c96056f26d8db4c18711c6b8804a0274c355bf2937d3f891c07842 SHA1: 1867693942c0f6f55914925762ebeab9ac32954b MD5sum: 6e9eab3835add9a2eac0f9e20ff31aa4 Description: library and utilities designed to disable fsync and friends This package contains a small LD_PRELOAD library (libeatmydata) and a couple of helper utilities designed to transparently disable fsync and friends (like open(O_SYNC)). This has two side-effects: making software that writes data safely to disk a lot quicker and making this software no longer crash safe. . You will find eatmydata useful if particular software calls fsync(), sync() etc. frequently but the data it stores is not that valuable to you and you may afford losing it in case of system crash. Data-to-disk synchronization calls are typically very slow on modern file systems and their extensive usage might slow down software significantly. It does not make sense to accept such a hit in performance if data being manipulated is not very important. . On the other hand, do not use eatmydata when you care about what software stores or it manipulates important components of your system. The library is called libEAT-MY-DATA for a reason. Package: eegdev-plugins-free Source: eegdev Version: 0.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.1-1~nd60+1), libc6 (>= 2.7), libexpat1 (>= 1.95.8), libusb-1.0-0 (>= 2:1.0.8), libxdffileio0 (>= 0.0) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/eegdev-plugins-free_0.1-1~nd60+1_i386.deb Size: 17196 SHA256: 3a152333e1a678479bf37e76a7fe1236cddcd381c0f82216148df552bb6a24e7 SHA1: 87073a5dd571fe1580cdc3357e935d1913da9cae MD5sum: 62b64222b0a09c1801a241d4115c0170 Description: Biosignal acquisition device library (free plugins) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the devices plugins that depends only on free components. Package: eeglab11-sampledata Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8144 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/e/eeglab11/eeglab11-sampledata_11.0.0.0~b~dfsg.1-1~nd60+1_all.deb Size: 7224698 SHA256: a949ef784b2c7f5ae0b5b9100560fae81c897e84e80867b8c3b8ecfad708d35a SHA1: 2b43e6ccafdcf7014cfcfaf50b0fa9b02c9b501b MD5sum: 352d3cdaa19694e929bf647167979968 Description: sample EEG data for EEGLAB tutorials EEGLAB is sofwware for processing continuous or event-related EEG or other physiological data. . This package provide some tutorial data files shipped with the EEGLAB distribution. Package: eegview Version: 0.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libeegdev0, libmcpanel0 (>= 0.0), libxdffileio0 (>= 0.0) Homepage: http://cnbi.epfl.ch/software/eegview.html Priority: extra Section: science Filename: pool/main/e/eegview/eegview_0.0-1~nd60+1_i386.deb Size: 12268 SHA256: 64431c559158f397c6445a74c6b8ec3e06b8ce604dca60046b5fd78ee3a7b2ca SHA1: d7941712c2463d3302bde83ada530c719bf49086 MD5sum: 23af8a9009bf51538f1e4f99391b3adc Description: Software to display EEG data in realtime This software allows one to display EEG signal in realtime as well as record them. It is the minimal recording panel needed to do simple experiment. Package: fail2ban Version: 0.8.6-3~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 612 Depends: neurodebian-popularity-contest, python (>= 2.4), python-central (>= 0.6.11), lsb-base (>= 2.0-7) Recommends: iptables, whois, python-gamin Suggests: mailx Homepage: http://www.fail2ban.org Priority: optional Section: net Filename: pool/main/f/fail2ban/fail2ban_0.8.6-3~nd60+1_all.deb Size: 103500 SHA256: 3f363bbb4aab43fe62721452194b2b6d50a314c03822b4f3fba2a64760050edb SHA1: 6a88525f9cead8210d6b8ddb74efb15c205002fa MD5sum: 32b9330132d95ff6eeb12af858302894 Description: ban hosts that cause multiple authentication errors Fail2ban monitors log files (e.g. /var/log/auth.log, /var/log/apache/access.log) and temporarily or persistently bans failure-prone addresses by updating existing firewall rules. Fail2ban allows easy specification of different actions to be taken such as to ban an IP using iptables or hostsdeny rules, or simply to send a notification email. . By default, it comes with filter expressions for various services (sshd, apache, qmail, proftpd, sasl etc.) but configuration can be easily extended for monitoring any other text file. All filters and actions are given in the config files, thus fail2ban can be adopted to be used with a variety of files and firewalls. Python-Version: current, >= 2.4 Package: freenect Source: libfreenect Version: 1:0.1.2+dfsg-5~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin, libfreenect-dev, libfreenect0.1, libfreenect-doc Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/freenect_0.1.2+dfsg-5~nd60+1_i386.deb Size: 7204 SHA256: 87bc986535775eada4d6e8c8ed58c0b9e2b08007f31d4dc5e2d906ef091cdfd9 SHA1: 33c4b62f7eeb99c79d6bc48b9240c7020fceff00 MD5sum: ec88fb4b265a60eb26673c024450085e Description: library for accessing Kinect device -- metapackage libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the metapackage to install all components of the project. Package: fslview Version: 3.1.8+4.1.9-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3816 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libnifti2, libqt3-mt (>= 3:3.3.8b), libqwt4c2, libstdc++6 (>= 4.4.0), libvtk5.4, libvtk5.4-qt3 Recommends: fslview-doc Suggests: fsl-atlases Conflicts: fsl-fslview Replaces: fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: science Filename: pool/main/f/fslview/fslview_3.1.8+4.1.9-1~nd60+1_i386.deb Size: 1494582 SHA256: 37f693a2a56971b60bc7232897b1fb6e6c89828bd3978524731cb69b2c91cdd8 SHA1: a0e35082316bacfcf7c1adf7eda09a470591543c MD5sum: bd23b329000bf34f55cbbd115fecd661 Description: viewer for (f)MRI and DTI data This package provides a viewer for 3d and 4d MRI data as well as DTI images. FSLView is able to display ANALYZE and NIFTI files. The viewer supports multiple 2d viewing modes (orthogonal, lightbox or single slices), but also 3d volume rendering. Additionally FSLView is able to visualize timeseries and can overlay metrical and stereotaxic atlas data. . FSLView is part of FSL. Package: fslview-doc Source: fslview Version: 3.1.8+4.1.9-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3124 Depends: neurodebian-popularity-contest, qt3-assistant Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_3.1.8+4.1.9-1~nd60+1_all.deb Size: 2351302 SHA256: 64c32f8bbbbbfddfc65e97d37eec4341d377874849c6e8f7f759aeae873e7a45 SHA1: 73726555ec7747f07c2bef1b77c62eb10e381e09 MD5sum: 66b10fb39b745b649ba377098763568b Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: gdf-tools Source: libgdf Version: 0.1.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: neurodebian-popularity-contest, libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-program-options1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.4.0) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: utils Filename: pool/main/libg/libgdf/gdf-tools_0.1.2-1~nd60+1_i386.deb Size: 39332 SHA256: 6570cdefb3ada5da2a29cc12bbcfdf07b63ab4b2185b3187f7fa4035ac8c2e09 SHA1: 5d741b61f1c9bec94df3f1a3992cbc6d5496464e MD5sum: 98007375464bc64bb408717459153347 Description: IO library for the GDF -- helper tools GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the tool shipped with the library (gdf_merger). Package: gifti-bin Source: gifticlib Version: 1.0.9-1~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 124 Depends: libc6 (>= 2.1), libexpat1 (>= 1.95.8), libgiftiio0, libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: utils Filename: pool/main/g/gifticlib/gifti-bin_1.0.9-1~squeeze.nd1_i386.deb Size: 28730 SHA256: d39ded92265112712c77d9117b70fa915b56f1cc3681e498c155754ad64cdc58 SHA1: 410001a3b15e8fd43a44d6d30b9ceecbc7762be7 MD5sum: 45401b0fff219489478c581175d6a8db Description: tools shipped with the GIFTI library GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the tools that are shipped with the library (gifti_tool and gifti_test). Package: glew-utils Source: glew Version: 1.6.0-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 336 Depends: neurodebian-popularity-contest, libglew1.6 (= 1.6.0-2~nd60+1), libc6 (>= 2.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Replaces: libglew1.4 (<< 1.5) Homepage: http://glew.sourceforge.net/ Priority: optional Section: utils Filename: pool/main/g/glew/glew-utils_1.6.0-2~nd60+1_i386.deb Size: 119240 SHA256: 7bb9248b205d89470cfbc996472c9c68e6ee8bb113f2b2f3f3ffc3105aa90994 SHA1: 8b82d67d5a6b202e63f0daec7243f547ff5f5198 MD5sum: 24c78ab0a98d9faef843e4777b3d32fb Description: OpenGL Extension Wrangler - utilities For more information about GLEW please refer to the description of the libglew1.6-dev package. . This package contains the utilities which can be used to query the supported openGL extensions. Package: guacamole Version: 0.5.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 296 Depends: neurodebian-popularity-contest, guacd (>= 0.5), guacd (<< 0.6) Recommends: libguac-client-vnc0 Suggests: tomcat6 | jetty Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacamole/guacamole_0.5.0-1~nd60+1_all.deb Size: 232102 SHA256: 091e24f93d4d139b36783f5d802b1e82f06b2d36b5817a356518f3628bad4275 SHA1: 8c586156ab86d7b91c0e3f1281cec33f21ccedf0 MD5sum: caab8fc55d573b50c4b36001c35d6a88 Description: HTML5 web application for accessing remote desktops Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. Package: guacamole-tomcat Source: guacamole Version: 0.5.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, debconf, guacamole, tomcat6, libguac-client-vnc0, debconf (>= 0.5) | debconf-2.0 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacamole/guacamole-tomcat_0.5.0-1~nd60+1_all.deb Size: 4932 SHA256: 773d80e35e20c70275b85ecfd819bf96d5660bbf9bf24bb15e8e3f51d565ea69 SHA1: b0e9c03302623086220c4e58b07d228acb3a01f4 MD5sum: f501b0ace19cbf9d725d182729dfa5fb Description: Tomcat-based Guacamole install with VNC support Guacamole is an HTML5 web application that provides access to a desktop environment using remote desktop protocols. A centralized server acts as a tunnel and proxy, allowing access to multiple desktops through a web browser. No plugins are needed: the client requires nothing more than a web browser supporting HTML5 and AJAX. . This metapackage depends on Tomcat, Guacamole, and the VNC support plugin for guacamole. Guacamole is automatically installed and configured under Tomcat. Package: guacd Version: 0.5.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, lsb-base (>= 3.0-6), libc6 (>= 2.3.6-6~), libguac2 Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: net Filename: pool/main/g/guacd/guacd_0.5.0-1~nd60+1_i386.deb Size: 10456 SHA256: b520f186f87b80b662b7765829d2681b48b7aa5d55df6e823a2494b1f5d6c6d0 SHA1: feafa005702d51dbe80be966c2e829254fcaceb4 MD5sum: 05a4d060f88de03245cd06b72b56bd84 Description: Guacamole proxy daemon The Guacamole proxy daemon, guacd, translates between remote desktop protocols (like VNC) and the Guacamole protocol using protocol plugins. Once a user is authenticated with the Guacamole web application, a tunnel is established through the web application to guacd, allowing the JavaScript client to communicate to an arbitrary remote desktop server through guacd. Package: ipython01x Version: 0.12-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4608 Depends: neurodebian-popularity-contest, python-argparse, python-configobj, python-decorator, python-pexpect, python-simplegeneric, python2.6, python (>= 2.6.6-3+squeeze3~), python (<< 2.7) Recommends: python-tornado (>= 2.1.0~), python-zmq, python-matplotlib Suggests: ipython01x-doc, ipython01x-parallel, ipython01x-qtconsole, python-gobject, python-gtk2, python-numpy, python-profiler Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython01x/ipython01x_0.12-1~nd60+1_all.deb Size: 913698 SHA256: 7358dc8d865e72bdefd781f856feb2ecad98a0b110f08e92277e5c8f92287537 SHA1: e25b526ff4edfcecc94e03839af5de38db984aaf MD5sum: 2534ce83c0894c081d59e9a9ef0d3781 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-doc Source: ipython01x Version: 0.12-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13816 Depends: neurodebian-popularity-contest, libjs-jquery, ipython01x Homepage: http://ipython.org/ Priority: optional Section: doc Filename: pool/main/i/ipython01x/ipython01x-doc_0.12-1~nd60+1_all.deb Size: 4344566 SHA256: e8614c09026b8b5bccdfb0ceb5afce5f993a6ca9972e4a6ca74751adb3bf3f6b SHA1: bf213c50947b4440930323247ed022c71e770c0d MD5sum: 2b552f38d1e5307b03b9e184dfec6324 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the documentation. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-parallel Source: ipython01x Version: 0.12-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 596 Depends: neurodebian-popularity-contest, ipython01x (= 0.12-1~nd60+1), python-zmq (>= 2.1.4), python Conflicts: ipython-common, python2.3-ipython, python2.4-ipython Replaces: ipython-common, python2.3-ipython, python2.4-ipython Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython01x/ipython01x-parallel_0.12-1~nd60+1_all.deb Size: 113936 SHA256: 2a40e0a981fda00f37afeaecd2f2967328025951a72617872db6043a622a08ee SHA1: 3bf07bf9b9bf1566c519b453d4d9ba128bd8e67d MD5sum: ac243b81702a5801d5cc81b71daa5453 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the parallel processing facilities. . This is a non-official, custom build of IPython post 0.11 with workbooks support. It provides IPython01X module thus not conflicting with system-wide installed IPython Package: ipython01x-qtconsole Source: ipython01x Version: 0.12-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 376 Depends: neurodebian-popularity-contest, ipython01x (= 0.12-1~nd60+1), python-pygments, python-qt4, python-zmq (>= 2.0.10.1) Homepage: http://ipython.org/ Priority: optional Section: python Filename: pool/main/i/ipython01x/ipython01x-qtconsole_0.12-1~nd60+1_all.deb Size: 78656 SHA256: 296a5e3b3ab91764e731cb6463b0bf0559b927f5f2d8dcafb78a794a7c19f18e SHA1: dfffeb7832ca3935f65a3be588a7464c199f308e MD5sum: a985e06a8b8bcbef51126a5fb4a137d5 Description: enhanced interactive Python shell IPython can be used as a replacement for the standard Python shell, or it can be used as a complete working environment for scientific computing (like Matlab or Mathematica) when paired with the standard Python scientific and numerical tools. It supports dynamic object introspections, numbered input/output prompts, a macro system, session logging, session restoring, complete system shell access, verbose and colored traceback reports, auto-parentheses, auto-quoting, and is embeddable in other Python programs. . This package contains the qt console. Package: isis-utils Source: isis Version: 0.4.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 364 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libmuparser0, liboil0.3 (>= 0.3.1), libstdc++6 (>= 4.4.0) Homepage: https://github.com/isis-group Priority: extra Section: science Filename: pool/main/i/isis/isis-utils_0.4.7-1~nd60+1_i386.deb Size: 146080 SHA256: 466c342d6d8ba5231496bffff471084765fdeb57fd42a09b467da20a44f2b610 SHA1: 74e08c2809bf5c6d7985ee606705ae8caed7c486 MD5sum: fd1b805e368e2dd3d9aadbf6ba6fd5e4 Description: utilities for the ISIS neuroimaging data I/O framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides a number of utilities to process neuroimaging data. This includes a multi-format converter and tools to inspect image meta data. Package: itksnap Version: 2.2.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 8192 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfltk1.1 (>= 1.1.8~rc1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libinsighttoolkit3.18, libstdc++6 (>= 4.4.0), libvtk5.4 Homepage: http://www.itksnap.org Priority: extra Section: science Filename: pool/main/i/itksnap/itksnap_2.2.0-1~nd60+1_i386.deb Size: 3651816 SHA256: 7f11cdb7da92f4f809820fd8a40ac749bb857f96fbd81328459643298ad229d8 SHA1: c2a7f3c83e4ed9673fd86d191bc365b4e21e741d MD5sum: d7081814d1c2286f9f09aab327cd26ec Description: semi-automatic segmentation of structures in 3D images SNAP provides semi-automatic segmentation of structures in medical images (e.g. magnetic resonance images of the brain) using active contour methods, as well as manual delineation and image navigation. Noteworthy features are: . * Linked cursor for seamless 3D navigation * Manual segmentation in three orthogonal planes at once * Support for many different 3D image formats, including NIfTI * Support for concurrent, linked viewing and segmentation of multiple images * Limited support for color images (e.g., diffusion tensor maps) * 3D cut-plane tool for fast post-processing of segmentation results Package: kbibtex Version: 0.2.3-1~squeeze.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 2548 Depends: kdelibs4c2a (>= 4:3.5.9), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libqt3-mt (>= 3:3.3.8b), libstdc++6 (>= 4.1.1), libxml2 (>= 2.6.27), libxslt1.1 (>= 1.1.18) Recommends: texlive-bibtex-extra Suggests: texlive-latex-base | tetex-extra, bibtex2html, latex2rtf Homepage: http://www.unix-ag.uni-kl.de/~fischer/kbibtex Priority: optional Section: kde Filename: pool/main/k/kbibtex/kbibtex_0.2.3-1~squeeze.nd1_i386.deb Size: 784668 SHA256: 983e4e1e7b846ebdc732340e00f7274aa12d052a28178d3c2de8f70cff9ace07 SHA1: c4ad2445f44469f9f88b7100d92fcfc4b7cf2e5c MD5sum: 06fd2eb66cae4212965a588d1d843ab5 Description: BibTeX editor for KDE An application to manage bibliography databases in the BibTeX format. KBibTeX can be used as a standalone program, but can also be embedded into other KDE applications (e.g. as bibliography editor into Kile). . KBibTeX can query online ressources (e.g. Google scholar) via customizable search URLs. It is also able to import complete datasets from NCBI Pubmed. It also supports tagging references with keywords and manages references to local files. . BibTeX files can be exported into HTML, XML, PDF, PS and RTF format using a number of citation styles. Package: klustakwik Version: 2.0.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://sourceforge.net/projects/klustakwik/ Priority: extra Section: science Filename: pool/main/k/klustakwik/klustakwik_2.0.1-1~nd60+1_i386.deb Size: 20768 SHA256: b5016eeb4d6dd0fce460d43489cb975a989e1f9bd22a45bfafb063d1d059bd35 SHA1: b385da0f2ccf592b41c0ad95d17395a9e0875f60 MD5sum: b01c49ec4b2afabcba71c0ed1e04b0df Description: automatic sorting of the samples (spikes) into clusters KlustaKwik is a program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data. Package: libbiosig-dev Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1212 Depends: neurodebian-popularity-contest, libbiosig0 (= 0.96.3+svn2677-3~nd60+1) Homepage: http://biosig.sf.net/ Priority: extra Section: libdevel Filename: pool/main/b/biosig4c++/libbiosig-dev_0.96.3+svn2677-3~nd60+1_i386.deb Size: 373938 SHA256: 3807fd40eb11954be8cf78bdef9fcd6c88eb37809a1f60ca482104443285fd4e SHA1: 16ffbe738facee3b377511612db332bae2f67cec MD5sum: bbc7a2ee0d9c48da12b502411ed278ba Description: I/O library for biomedical data - development files BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides header files and static library. Package: libbiosig0 Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 756 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: libs Filename: pool/main/b/biosig4c++/libbiosig0_0.96.3+svn2677-3~nd60+1_i386.deb Size: 296118 SHA256: 2edfe0d8d4bfb5e315e96229a1336ad563585c9fea1eb74fa6fbdfdcaa707a5f SHA1: c1e63afa93ee2f0494923c599ce1088c30ea4671 MD5sum: 69bbb582a5b75bf8fb9731342e7fd3bc Description: I/O library for biomedical data - dynamic library BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides dynamic library. Package: libbiosig0-dbg Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 188 Depends: neurodebian-popularity-contest, libbiosig0 (= 0.96.3+svn2677-3~nd60+1) Homepage: http://biosig.sf.net/ Priority: extra Section: debug Filename: pool/main/b/biosig4c++/libbiosig0-dbg_0.96.3+svn2677-3~nd60+1_i386.deb Size: 57298 SHA256: 550dd4777245eada5d11fc176d5fc250c06655c40990e069f53ce6e29227d698 SHA1: 4ab565149ce0bf8574a49f970ef51a5c524be9fe MD5sum: 4c47143a9333d489a4ee2fd53bfad91e Description: I/O library for biomedical data - debug symbols BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . This package provides debug symbols. Package: libcgroup-dev Source: libcgroup Version: 0.37.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libcgroup1 (= 0.37.1-1~nd60+1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libdevel Filename: pool/main/libc/libcgroup/libcgroup-dev_0.37.1-1~nd60+1_i386.deb Size: 17388 SHA256: 79c3c212bbed8d8fda78f0cdcf23fd0d805e2df91316dff332a7ba1a4289ddb7 SHA1: fa4bf61d34f3afd790c38398a04b6c32fe2cad2a MD5sum: 16db1692aaf22a8036fd523f12ff2f65 Description: Development libraries to develop applications that utilize control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . It provides API to create/delete and modify cgroup nodes. It will also in the future allow creation of persistent configuration for control groups and provide scripts to manage that configuration. Package: libcgroup1 Source: libcgroup Version: 0.37.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 84 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: libs Filename: pool/main/libc/libcgroup/libcgroup1_0.37.1-1~nd60+1_i386.deb Size: 34188 SHA256: 616b8eb25c7293e96d36a0239b54c9f07e77ab6a727f30a87325feac6e426078 SHA1: d33ca3927c454927021c27986fba34631521e1d7 MD5sum: 1dee764c362c214452437398a0ab004a Description: Library to control and monitor control groups Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This library allows applications to manipulate, control, administrate and monitor control groups and the associated controllers. Package: libclassad-dev Source: condor Version: 7.7.5~dfsg.1-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 980 Depends: neurodebian-popularity-contest, libclassad3 (= 7.7.5~dfsg.1-2~nd60+1) Conflicts: libclassad0-dev Replaces: libclassad0-dev Priority: extra Section: libdevel Filename: pool/main/c/condor/libclassad-dev_7.7.5~dfsg.1-2~nd60+1_i386.deb Size: 293274 SHA256: cd900055a5b968e60493321cebc5639f1dee4463641e8deb5119a1a5d0685b0c SHA1: 87ad8cd4d140ac442ce8bb019c804e204036d4ca MD5sum: 2471e668bc70c3e986af660f4496e51c Description: library for Condor's classads expression language (development) A classad (classified ad) is a mapping from attribute names to expressions. In the simplest cases, the expressions are simple constants (integer, floating point, or string), thus a form of property list. Attribute expressions can also be more complicated. There is a protocol for evaluating an attribute expression of a classad vis a vis another ad. Two classads match if each ad has attribute requirements that evaluate to true in the context of the other ad. Classad matching is used by the Condor central manager to determine the compatibility of jobs and workstations where they may be run. . This package provides the static library and header files. Package: libclassad3 Source: condor Version: 7.7.5~dfsg.1-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 540 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.4), libgcc1 (>= 1:4.1.1), libpcre3 (>= 7.7), libstdc++6 (>= 4.4.0) Priority: extra Section: science Filename: pool/main/c/condor/libclassad3_7.7.5~dfsg.1-2~nd60+1_i386.deb Size: 220572 SHA256: 33281c570fd30ff6c5949be30a2c39e2ddd981d7fa41510886da3930860cebef SHA1: aef471237e66428495302a9eba00b5dad744dfac MD5sum: 861712b2f80709b0fb5e6cd1363f87cd Description: library for Condor's classads expression language A classad (classified ad) is a mapping from attribute names to expressions. In the simplest cases, the expressions are simple constants (integer, floating point, or string), thus a form of property list. Attribute expressions can also be more complicated. There is a protocol for evaluating an attribute expression of a classad vis a vis another ad. Two classads match if each ad has attribute requirements that evaluate to true in the context of the other ad. Classad matching is used by the Condor central manager to determine the compatibility of jobs and workstations where they may be run. . This package provides the runtime library. Package: libdmtcpaware-dev Source: dmtcp Version: 1.2.4-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 24 Depends: neurodebian-popularity-contest, libdmtcpaware1 (= 1.2.4-1~nd60+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libdmtcpaware-dev_1.2.4-1~nd60+1_i386.deb Size: 6922 SHA256: 0c8b2ebde184695697e02bfe7052c61954ec29cf856162a4cf8501af91923fe2 SHA1: e5b166418c30a1b59c78a71fdd52041fb0733a1f MD5sum: d04d0eb474301e7883f178277e846bba Description: DMTCP programming interface -- developer package DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides libraries for developing applications that need to interact with dmtcp. Package: libdmtcpaware1 Source: dmtcp Version: 1.2.4-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 32 Depends: neurodebian-popularity-contest, dmtcp, libc6 (>= 2.1.3) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libdmtcpaware1_1.2.4-1~nd60+1_i386.deb Size: 6514 SHA256: 1e95a204b213ae45c7647166966a645053ba6b3bcfebc96b10a6dfe13c5c81d4 SHA1: 5086402ca12bd4b0d2f5355b3b94adc15c09f78c MD5sum: 19bcd2ac49116a68b0639431fe47d3b4 Description: DMTCP programming interface DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides a programming interface to allow checkpointed applications to interact with dmtcp. Package: libdrawtk-dev Source: drawtk Version: 1.0b-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 192 Depends: neurodebian-popularity-contest, libdrawtk0 (= 1.0b-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libdevel Filename: pool/main/d/drawtk/libdrawtk-dev_1.0b-1~nd60+1_i386.deb Size: 44310 SHA256: 2d7227b3881b904c34519722fd6e52e592782f9e999e060f083f48de6bc88001 SHA1: 9bda3d4fb74eca71bd5c6ce31e10dc10a20aae3b MD5sum: 1a9003df3a6a3307877494c4235f8983 Description: Library to simple and efficient 2D drawings (development files) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL which allow us fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package contains the files needed to compile and link programs which use drawtk. Package: libdrawtk0 Source: drawtk Version: 1.0b-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfontconfig1 (>= 2.8.0), libfreeimage3 (>= 3.10.0), libfreetype6 (>= 2.2.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libgstreamer-plugins-base0.10-0 (>= 0.10.23), libgstreamer0.10-0 (>= 0.10.25), libsdl1.2debian (>= 1.2.10-1) Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: libs Filename: pool/main/d/drawtk/libdrawtk0_1.0b-1~nd60+1_i386.deb Size: 31142 SHA256: dadc306736d9e6cdb990e7335ccb12e9e76c25a1685ab5a20c71b481d4f00e8f SHA1: 2b72868040744ccff9a89b0b775ee32caf1ff4b1 MD5sum: e35017a5022584f87e28722c2f8784a2 Description: Library to simple and efficient 2D drawings This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL which allow us fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. Package: libdrawtk0-dbg Source: drawtk Version: 1.0b-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 124 Depends: neurodebian-popularity-contest, libdrawtk0 (= 1.0b-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/drawtk.html Priority: extra Section: debug Filename: pool/main/d/drawtk/libdrawtk0-dbg_1.0b-1~nd60+1_i386.deb Size: 59182 SHA256: 0064c6d5f4e901781cb8ee015df3c422ffab589e85cf6038d498845e9cd55bf4 SHA1: be77ddd63fc814d1dc83a819aa1a1402c139812a MD5sum: f075a71dcb260347e29894dc3419847b Description: Library to simple and efficient 2D drawings (debugging symbols) This package provides an C library to perform efficient 2D drawings. The drawing is done by OpenGL which allow us fast and nice rendering of basic shapes, text, images and videos. It has been implemented as a thin layer that hides the complexity of the OpenGL library. . This package provides the debugging symbols for the library. Package: libeegdev-dev Source: eegdev Version: 0.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.1-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libdevel Filename: pool/main/e/eegdev/libeegdev-dev_0.1-1~nd60+1_i386.deb Size: 25286 SHA256: c5ecd125b1730fe3608610803b819a8230b851efcf82ad02b120bfefaa4f6c98 SHA1: b84abe551b7684d61709985c4aa40913d14a06f8 MD5sum: f57a4c9738c7afe1636745a7b0323d81 Description: Biosignal acquisition device library (Developement files) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the files needed to compile and link programs which use eegdev. Its provides also the headers neeeded to develop new device plugins. The manpages and examples are shipped in this package. Package: libeegdev0 Source: eegdev Version: 0.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~) Suggests: eegdev-plugins-free Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: libs Filename: pool/main/e/eegdev/libeegdev0_0.1-1~nd60+1_i386.deb Size: 27338 SHA256: e4706e40b44745570681bcef756b21b71867c9b41ec277ec560e0d7e67cc4abf SHA1: 5ec43116fec68d78eee51d70b37aaa3d5941a845 MD5sum: 596259d3527236723594a61f15cced18 Description: Biosignal acquisition device library eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package contains the core library Package: libeegdev0-dbg Source: eegdev Version: 0.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 112 Depends: neurodebian-popularity-contest, libeegdev0 (= 0.1-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/eegdev.html Priority: extra Section: debug Filename: pool/main/e/eegdev/libeegdev0-dbg_0.1-1~nd60+1_i386.deb Size: 46962 SHA256: 2dce960267ca28eea943ff0e1a4b7f2920202281cd4376f0c20d3f50bd9b1418 SHA1: 25b3d70a307a49ec576b97990162c3bac1d9af10 MD5sum: b1a63f038c6513358e4b115ddd4275f5 Description: Biosignal acquisition device library (Debugging symbols) eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the mean of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially. . The core library not only provides to users a unified and consistent interfaces to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task. . This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research. . This package provides the debugging symbols for the library. Package: libeigen3-dev Source: eigen3 Version: 3.0.1-1.1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3412 Depends: neurodebian-popularity-contest Suggests: libeigen3-doc Homepage: http://eigen.tuxfamily.org Priority: extra Section: libdevel Filename: pool/main/e/eigen3/libeigen3-dev_3.0.1-1.1~nd60+1_i386.deb Size: 509864 SHA256: 0d32c7166359ad5be9daceb7cddc432ab9237844a8d558b6623449c71a29855d SHA1: 99f1f3a137b7623a28a9a07e38a98448a485fb68 MD5sum: a0fc5b222e03136cab85c7c08e201b6f Description: lightweight C++ template library for linear algebra Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . Unlike most other linear algebra libraries, Eigen 3 focuses on the simple mathematical needs of applications: games and other OpenGL apps, spreadsheets and other office apps, etc. Eigen 3 is dedicated to providing optimal speed with GCC. A lot of improvements since 2-nd version of Eigen. Package: libeigen3-doc Source: eigen3 Version: 3.0.1-1.1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10624 Depends: neurodebian-popularity-contest, ttf-freefont, libjs-jquery Suggests: libeigen3-dev Homepage: http://eigen.tuxfamily.org Priority: extra Section: doc Filename: pool/main/e/eigen3/libeigen3-doc_3.0.1-1.1~nd60+1_all.deb Size: 2644024 SHA256: 695a17eef4aa0e2f79eca25972103ab07407d4cf73bc007b9fb28df0786b347e SHA1: 01875672385364e3b13d603cd81d900cfc1c8c9e MD5sum: d691c4890c6c1d5aeea56244134001af Description: eigen3 API docmentation Eigen 3 is a lightweight C++ template library for vector and matrix math, a.k.a. linear algebra. . This package provides the complete eigen3 API documentation in HTML format. Package: libfreenect-bin Source: libfreenect Version: 1:0.1.2+dfsg-5~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, freeglut3, libc6 (>= 2.3.6-6~), libfreenect0.1 (>= 1:0.1.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.1.1) Breaks: libfreenect-demos (<< 1:0.1.2+dfsg-1) Replaces: libfreenect-demos (<< 1:0.1.2+dfsg-1) Homepage: http://openkinect.org/ Priority: extra Section: utils Filename: pool/main/libf/libfreenect/libfreenect-bin_0.1.2+dfsg-5~nd60+1_i386.deb Size: 35446 SHA256: a787cb3b5881341473043d42cc259f040532b5fd0f17b3628d1dc3ae3c7abad3 SHA1: 40f545b1b1caed6e92eeb94df539aed108557682 MD5sum: e4e0cccf4f359ca7939f6974600a4f32 Description: library for accessing Kinect device -- utilities and samples libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package includes utilities and sample programs for kinect. Package: libfreenect-demos Source: libfreenect Version: 1:0.1.2+dfsg-5~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12 Depends: neurodebian-popularity-contest, libfreenect-bin Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-demos_0.1.2+dfsg-5~nd60+1_i386.deb Size: 7240 SHA256: 64f795dfb64e3763fc4809836046c1b0b3174916ca2d5dc82821b8949dec0e80 SHA1: 4d251ef1c59b8154b318b4ea1cb36226aff8e5ac MD5sum: 02def25e515e4dae61668344a64928d7 Description: library for accessing Kinect device -- dummy package libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package is a metapackage to do the transition from libfreenect-demos to libfreenect-bin. This package can be removed after installation. Package: libfreenect-dev Source: libfreenect Version: 1:0.1.2+dfsg-5~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: neurodebian-popularity-contest, libfreenect0.1 (= 1:0.1.2+dfsg-5~nd60+1) Homepage: http://openkinect.org/ Priority: extra Section: libdevel Filename: pool/main/libf/libfreenect/libfreenect-dev_0.1.2+dfsg-5~nd60+1_i386.deb Size: 17178 SHA256: b7ae555ce9be29374bd62d4ed12193a39e61ec40fddcc96daf1c5cc9c6ba45af SHA1: f1ac96e888e8678b6715d3c51150ace39842dbe0 MD5sum: e01c4d41afa0286df414f393106d3a75 Description: library for accessing Kinect device -- development files libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This is the development package containing the libraries and header for software development with libfreenect. Package: libfreenect-doc Source: libfreenect Version: 1:0.1.2+dfsg-5~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 576 Depends: neurodebian-popularity-contest Homepage: http://openkinect.org/ Priority: extra Section: doc Filename: pool/main/libf/libfreenect/libfreenect-doc_0.1.2+dfsg-5~nd60+1_all.deb Size: 87834 SHA256: f24771598330352f0cb5b95d0a02bb287a2bdff35bc5cbeda82ca0ebfa190975 SHA1: aae946f33789780f10ab2f5f2b6b966de51e5644 MD5sum: ba181d9d11f5924f07196ca0e5bb671d Description: library for accessing Kinect device -- documentation libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the documentation of the API of libfreenect. Package: libfreenect0.0 Source: libfreenect Version: 1:0.0.1+20101211+2-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.8), udev Conflicts: libfreenect Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.0_0.0.1+20101211+2-3~nd60+1_i386.deb Size: 26408 SHA256: 55928b8a391ffb1ad5b519a6016c4c8f13800b28bac22145175bd47c674fd2b7 SHA1: c6c601cd81e76c30b3b811cc2af6de65917de639 MD5sum: 58ebd67b4abb2cc682d17d8e2d6e513c Description: library for accessing Kinect USB camera libfreenect is the core library for accessing the Microsoft Kinect USB camera. Currently, the library supports access to: - RGB and Depth Images - Motors - Accelerometer - LED Package: libfreenect0.1 Source: libfreenect Version: 1:0.1.2+dfsg-5~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 108 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libusb-1.0-0 (>= 2:1.0.8) Conflicts: libfreenect Homepage: http://openkinect.org/ Priority: extra Section: libs Filename: pool/main/libf/libfreenect/libfreenect0.1_0.1.2+dfsg-5~nd60+1_i386.deb Size: 33794 SHA256: e88da682cb322afc8fbb2d51de562f420f2b4991f57ccd0e890fbf10b2874406 SHA1: ddb1a0a8f856989e3b96146987b04206f6ab8098 MD5sum: bb0eefdecd7d32dc0f07436eb0ebb1f2 Description: library for accessing Kinect device libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package contains the shared library of libfreenect. Package: libgdf-dev Source: libgdf Version: 0.1.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-1~nd60+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libdevel Filename: pool/main/libg/libgdf/libgdf-dev_0.1.2-1~nd60+1_i386.deb Size: 19290 SHA256: 58de80c37e0b79d19ee534a659a8e875642eedbf316693dba06bab9de50a6128 SHA1: eae4478bb1e2ee066eefe7068e0df3244186b19d MD5sum: d615ab031c0f0aac82a2dd1c7268c6e6 Description: IO library for the GDF -- development library GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides the header files and static library. Package: libgdf0 Source: libgdf Version: 0.1.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 312 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: libs Filename: pool/main/libg/libgdf/libgdf0_0.1.2-1~nd60+1_i386.deb Size: 106894 SHA256: 0f8caceeed025067c48df0bae370fa9e69475d6a2403fcf6aaed154af7388230 SHA1: b3cf35e6d7c86646e1ec0d4f4e45925c6b0a8d99 MD5sum: 36950e009a423d5e75265a20f194d25d Description: IO library for the GDF (general dataformat for biosignals) GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package contains the shared library. Package: libgdf0-dbg Source: libgdf Version: 0.1.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3648 Depends: neurodebian-popularity-contest, libgdf0 (= 0.1.2-1~nd60+1) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: debug Filename: pool/main/libg/libgdf/libgdf0-dbg_0.1.2-1~nd60+1_i386.deb Size: 1108746 SHA256: 1b3e9b64e2f37fd63bdc6151d90a73b7afbabee63618057924b49d8f23ecdd42 SHA1: 7e12728fe4340b8a7b630ba1d0ed6d55261ee353 MD5sum: c674bc0179f258e39bf7f614595b07f3 Description: IO library for the GDF -- debug symbols GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides debug symbols. Package: libgiftiio-dev Source: gifticlib Version: 1.0.9-1~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 204 Depends: libgiftiio0 (= 1.0.9-1~squeeze.nd1) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libdevel Filename: pool/main/g/gifticlib/libgiftiio-dev_1.0.9-1~squeeze.nd1_i386.deb Size: 62812 SHA256: 867b6088809e2367db92779aa1e8c9a5f98eca61efe0c18a2291fbc0e7c6cbac SHA1: b4c327e2fa299bab3eb3f4c27c85b0460b315d89 MD5sum: 214ff5bda9d8062090d3ae5829931678 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package provides the header files and static library. Package: libgiftiio0 Source: gifticlib Version: 1.0.9-1~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 172 Depends: libc6 (>= 2.3), libexpat1 (>= 1.95.8), libnifti2, zlib1g (>= 1:1.1.4) Homepage: http://www.nitrc.org/projects/gifti Priority: optional Section: libs Filename: pool/main/g/gifticlib/libgiftiio0_1.0.9-1~squeeze.nd1_i386.deb Size: 56988 SHA256: fc68dcc4aca8ef9560e7a28aea64c973dcb918c1622a0bfed92a4e75c89bbc6d SHA1: ee53dc464034c6835285763ad2ec9c1304e9f47e MD5sum: d4b070d164e9d57ca70ee9c08eea2ac6 Description: IO library for the GIFTI cortical surface data format GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI). . This package contains the shared library. Package: libglew1.6 Source: glew Version: 1.6.0-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 376 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Suggests: glew-utils Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglew1.6_1.6.0-2~nd60+1_i386.deb Size: 119162 SHA256: 87d8389ce7f3b69527d62908c9f9440528585e7bdafe094e418ecaed33fad033 SHA1: e9db378e6134c4a9f14ecd258cee28ccb208c843 MD5sum: 438ad19afeb9c09eb64228f85c1d4262 Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files. Package: libglew1.6-dev Source: glew Version: 1.6.0-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1332 Depends: neurodebian-popularity-contest, libglew1.6 (= 1.6.0-2~nd60+1), libgl1-mesa-dev | libgl-dev, libglu1-mesa-dev | libglu-dev Conflicts: libglew-dev, libglew1.5-dev Provides: libglew-dev, libglew1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglew1.6-dev_1.6.0-2~nd60+1_i386.deb Size: 235476 SHA256: 6fa26ca08382fead0831e35eaf17383ea9c97102ae87d92df27cd568381f588e SHA1: 26faee6f2212e385a69c43f9e6f26709bc4b90ed MD5sum: 062b838808d1f0231ecdfa550bce702d Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry[1]. . This package contains the development documentation as well as the required header files. Package: libglewmx1.6 Source: glew Version: 1.6.0-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 340 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libx11-6, libxext6, libxi6, libxmu6 Conflicts: libglew1 Homepage: http://glew.sourceforge.net/ Priority: optional Section: libs Filename: pool/main/g/glew/libglewmx1.6_1.6.0-2~nd60+1_i386.deb Size: 105664 SHA256: 7ec80b2493adc2230fb897297adab71ccd57b2e7838b79fbde1917334a5cfb82 SHA1: 3cd4c7746f98c14875ca01d39d6c077cbfc3ea4a MD5sum: 87a0e001446761173f8910989731d94e Description: OpenGL Extension Wrangler - runtime environment For more information about GLEW please refer to the description of the libglew-dev package. . This package contains the runtime support files, built with GLEW_MX option, adding support for thread-safe usage of multiple rendering contexts. Package: libglewmx1.6-dev Source: glew Version: 1.6.0-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 380 Depends: neurodebian-popularity-contest, libglew-dev, libglewmx1.6 (= 1.6.0-2~nd60+1) Conflicts: libglewmx-dev, libglewmx1.5-dev Provides: libglewmx-dev, libglewmx1.5-dev Homepage: http://glew.sourceforge.net/ Priority: optional Section: libdevel Filename: pool/main/g/glew/libglewmx1.6-dev_1.6.0-2~nd60+1_i386.deb Size: 93302 SHA256: bc48dbe309b340b26102ff91af3d3b0a5deaa0ab5d77baf958278587f145bfce SHA1: 06b5224f911043bedbafc968601fc1748efc2cae MD5sum: f29e3d954d647d16e46e86187cfe21f8 Description: OpenGL Extension Wrangler - development environment The OpenGL Extension Wrangler, GLEW for short, is a library that handles initialization of OpenGL extensions in a portable and simple way. Once the program initializes the library and checks the availability of extensions, it can safely call the entry points defined by the extension. Currently GLEW supports almost all the extensions found in the OpenGL extension registry[1]. . This package contains the development libraries compiled with GLEW_MX Package: libguac-client-vnc0 Source: libguac-client-vnc Version: 0.5.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libcairo2 (>= 1.6.0), libguac2, libvncserver0 Recommends: vnc4server Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac-client-vnc/libguac-client-vnc0_0.5.0-1~nd60+1_i386.deb Size: 10144 SHA256: 35601fcc57e87e1d5b35c1ca6d9798e2683662f38a3fbba716c6e0474792b2fa SHA1: 96b137a4732b46c750f40f5f644ca8af8150532e MD5sum: b7d4ba6b0553f853c10f575d05b197f0 Description: VNC client plugin for Guacamole A plugin for the Guacamole proxy daemon (guacd) that provides support for the VNC protocol. Package: libguac-dev Source: libguac Version: 0.5.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 96 Depends: neurodebian-popularity-contest, libguac2 (= 0.5.0-1~nd60+1) Conflicts: libguac1-dev Replaces: libguac1-dev Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libdevel Filename: pool/main/libg/libguac/libguac-dev_0.5.0-1~nd60+1_i386.deb Size: 19874 SHA256: dc18617345414c63e775954041a33affc7e5900ebdc83e3f7e64b27a07a10b8f SHA1: 96b74b8ebb33ad3cca527e1657f24c840b22cf30 MD5sum: 552672ac790d12a82e78e76a3d0169c8 Description: Development headers for the core Guacamole library The development headers for the core Guacamole library used by guacd and all client plugins. This package is required for development of new client plugins, or for building existing plugins and guacd. Package: libguac1 Source: libguac Version: 0.4.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 72 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac1_0.4.0-1~nd60+1_i386.deb Size: 12180 SHA256: 4030fd57ac1dcf6ae13f61645264ab804aa6c9fe59465b2e45dd61f3d288614c SHA1: 609fd61452fbaec37a93e546d21bb804f7b8a115 MD5sum: c9bafefab98e77ad09da5c9cba81b39c Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libguac1-dev Source: libguac Version: 0.4.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 116 Depends: neurodebian-popularity-contest, libguac1 (= 0.4.0-1~nd60+1) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libdevel Filename: pool/main/libg/libguac/libguac1-dev_0.4.0-1~nd60+1_i386.deb Size: 17792 SHA256: 34f72f568a8f993121134de9c546b3fcdea1b0ee1e0d320c0aa791d953015f18 SHA1: fef676f6741fbcf815ab4cfa192b90577fe9fc75 MD5sum: 355520ce1eb9d79a7099d33c38a8031c Description: Development headers for the core Guacamole library The development headers for the core Guacamole library used by guacd and all client plugins. This package is required for development of new client plugins, or for building existing plugins and guacd. Package: libguac2 Source: libguac Version: 0.5.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 44 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4) Homepage: http://guacamole.sourceforge.net/ Priority: extra Section: libs Filename: pool/main/libg/libguac/libguac2_0.5.0-1~nd60+1_i386.deb Size: 12148 SHA256: 20d996128e3d24d2d8507255693de08ac2de2a314f6ff9094a6f2f4ea611ca45 SHA1: 2f9621e59d6477d7558f60da18a60ed871aeb4d8 MD5sum: 7c31d7b12bf09045a723582e71efa668 Description: Core Guacamole library used by guacd and client plugins The core Guacamole library which both guacd and client plugins depend on to provide low-level I/O and protocol support. Package: libisis-core-dev Source: isis Version: 0.4.7-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 344 Depends: neurodebian-popularity-contest, libisis-core0 (>= 0.4.7-1~nd60+1), libisis-core0 (<< 0.4.7-1~nd60+1.1~) Homepage: https://github.com/isis-group Priority: extra Section: libdevel Filename: pool/main/i/isis/libisis-core-dev_0.4.7-1~nd60+1_all.deb Size: 68980 SHA256: fe9df025e015264884a7553966d5d637d0be183acca87cba3bc7a4e66bbe5140 SHA1: 74106e21c7e4c06e29fe095ad5fc661e9629ede3 MD5sum: 7f0a04ccd10d5bfcef4f3b1586283416 Description: I/O framework for neuroimaging data This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides headers and library to develop applications with ISIS. Package: libisis-core0 Source: isis Version: 0.4.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4692 Depends: neurodebian-popularity-contest, libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.10), libstdc++6 (>= 4.4.0) Recommends: libisis-ioplugins-common, libisis-ioplugins-dicom Homepage: https://github.com/isis-group Priority: extra Section: libs Filename: pool/main/i/isis/libisis-core0_0.4.7-1~nd60+1_i386.deb Size: 1142624 SHA256: 04cad5595931c8f599d1616307ca4d9911b32e4f594ae158481e29bab65893d1 SHA1: 1410f6c4bdfdee3d21dd54c59ee08a02acc44f93 MD5sum: edaa67fd6abf30fc362c65661d074227 Description: I/O framework for neuroimaging data This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This Package provides the core library needed by all applications that are build upon ISIS. Package: libisis-ioplugins-common Source: isis Version: 0.4.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2256 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-iostreams1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libbz2-1.0, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.4.0), libvia2, zlib1g (>= 1:1.1.4) Homepage: https://github.com/isis-group Priority: extra Section: libs Filename: pool/main/i/isis/libisis-ioplugins-common_0.4.7-1~nd60+1_i386.deb Size: 784094 SHA256: 0d5a4efd1d512977c4973c463379878e5ab62bb677ea07a649b11030f5afd063 SHA1: c0492ea2322f7962faf5bacdb38f031d9b511bf0 MD5sum: fc93a29ac9b605c9978e68a761a0a909 Description: data format plugins for the ISIS framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides plugins for data in NIfTI, PNG, VISTA format, raw-data access, as well as plugins for gzip-compression and tar-archive support. Package: libisis-ioplugins-dicom Source: isis Version: 0.4.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 644 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), dcmtk, libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.1.3), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.1), libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.4.0), libtiff4, zlib1g (>= 1:1.1.4) Homepage: https://github.com/isis-group Priority: extra Section: science Filename: pool/main/i/isis/libisis-ioplugins-dicom_0.4.7-1~nd60+1_i386.deb Size: 223184 SHA256: fe0a984a46eb6cf9a6e07ae0deaa9372737a79b520ec34e8d09ea7bbcab85ad3 SHA1: 1104671e386c12939db82741ac6f8996eca8b504 MD5sum: f6364215b625f7e7897cf0a550d4e5b6 Description: dicom io plugin for the ISIS framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. . This package provides a plugin to read data from dicom datasets. It reads single files, or whole directories (a DICOMDIR is not needed). Package: libisis-qt4-0 Source: isis Version: 0.4.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, libisis-core0 (= 0.4.7-1~nd60+1), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), liboil0.3 (>= 0.3.1), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1) Conflicts: isis-qt4 Replaces: isis-qt4 Homepage: https://github.com/isis-group Priority: extra Section: libs Filename: pool/main/i/isis/libisis-qt4-0_0.4.7-1~nd60+1_i386.deb Size: 23818 SHA256: ada477859453b63cc2721971dd3c38c8119bbde34330c029ca48540eeb00cb44 SHA1: 2901d2a2a00b5635f4de7358283918f161cbc10a MD5sum: c43c0f1c747e6529073b3a5c57256333 Description: Qt4 bindings for ISIS data I/O framework This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. Package: libisis-qt4-dev Source: isis Version: 0.4.7-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libisis-qt4-0 (>= 0.4.7-1~nd60+1), libisis-qt4-0 (<< 0.4.7-1~nd60+1.1~), libqt4-dev Conflicts: isis-qt4-dev Homepage: https://github.com/isis-group Priority: extra Section: libdevel Filename: pool/main/i/isis/libisis-qt4-dev_0.4.7-1~nd60+1_all.deb Size: 6022 SHA256: 28e4b5db7773d9fd49e11fc68a958d37734279347da6098e99abb6c6b42e0c91 SHA1: d2680f40e063f20bd0b9a2fe8e15eea731b34237 MD5sum: bd0cf86c411a305c1064b4e84e358b08 Description: Qt4 bindings for ISIS data I/O framework (development headers) This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. Package: libmcpanel-dev Source: mcpanel Version: 0.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libdevel Filename: pool/main/m/mcpanel/libmcpanel-dev_0.0-1~nd60+1_i386.deb Size: 2396 SHA256: 610b4229f3b1d1ec0d94c49238ee4ad8b088dcfb8e192621c62a226edbe50648 SHA1: 485ff269d50663a877d4f81dcb2ef968a3dbae01 MD5sum: 48e86d2bef5b463b24e033eeca424941 Description: Library to display multichannel data in realtime (Developement files) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the files needed to compile and link programs which use mcpanel Package: libmcpanel0 Source: mcpanel Version: 0.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 176 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libglib2.0-0 (>= 2.14.0), libgtk2.0-0 (>= 2.14.0), libpango1.0-0 (>= 1.14.0), librtfilter1 (>= 1.0) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: libs Filename: pool/main/m/mcpanel/libmcpanel0_0.0-1~nd60+1_i386.deb Size: 51318 SHA256: 1a0184c8c7b19cbb9a88f2508ee0b07c25b66f18702aa50ed1a5b5a7bc59ec70 SHA1: f56857508966a7127ac41d5036a69b04a50d3e84 MD5sum: 964ba5c55e521b87e366ba64b138a255 Description: Library to display multichannel data in realtime This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. Package: libmcpanel0-dbg Source: mcpanel Version: 0.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 272 Depends: neurodebian-popularity-contest, libmcpanel0 (= 0.0-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/mcpanel.html Priority: extra Section: debug Filename: pool/main/m/mcpanel/libmcpanel0-dbg_0.0-1~nd60+1_i386.deb Size: 122584 SHA256: eaaafb2c64caa52566bfa402c019f9801367dac318cc216d29a023c411504d6a SHA1: 1d946f23de83c72bbbe32e59bbdabecd6dbd8fa6 MD5sum: 228547b5f50de928669eb491af0592f4 Description: Library to display multichannel data in realtime (Debugging symbols) This package provides a library written in C implementing a set of widgets designed to view in realtime multichannels signals. Despite it has been initially design to view signals coming from a BIOSEMI Activetwo EEG system, it is totally system agnostic and any user of other system might find it useful. . This package contains the debugging information of the library. Package: libmtcp-dev Source: dmtcp Version: 1.2.4-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libmtcp1 (= 1.2.4-1~nd60+1) Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/d/dmtcp/libmtcp-dev_1.2.4-1~nd60+1_i386.deb Size: 5350 SHA256: d23b31efa08208a2ecf264f50296ccbea97a7af79fd9c721784183f82d78596f SHA1: 3fe130332f9cf74a5e9a1751af47a69299cae8c5 MD5sum: f193ab6b790b36d9b0b570645e34282f Description: Developer package for libmtcp DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides header files needed for building programs with libmtcp. Package: libmtcp1 Source: dmtcp Version: 1.2.4-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 108 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~) Suggests: dmtcp Homepage: http://dmtcp.sourceforge.net Priority: optional Section: libs Filename: pool/main/d/dmtcp/libmtcp1_1.2.4-1~nd60+1_i386.deb Size: 35588 SHA256: 1a2217361c13ff8dc57a669228ea4409512e4179e9251fa636cac11a207eb26b SHA1: 0c664ec2704fce7e1358f6fe207d49fad4d621f6 MD5sum: f99b062a22f07ee9aafae7d4949d147a Description: DMTCP library needed for checkpointing a standalone process DMTCP (Distributed MultiThreaded Checkpointing) is a tool to transparently checkpointing the state of an arbitrary group of programs including multi-threaded and distributed computations. It operates directly on the user binary executable, with no Linux kernel modules or other kernel mods. . Among the applications supported by DMTCP are OpenMPI, MATLAB, Python, Perl, and many programming languages and shell scripting languages. DMTCP also supports GNU screen sessions, including vim/cscope and emacs. With the use of TightVNC, it can also checkpoint and restart X-Window applications, as long as they do not use extensions (e.g.: no OpenGL, no video). . This package provides libmtcp which is needed by DMTCP to checkpoint a single standalone process. Package: libnifti-dev Source: nifticlib Version: 2.0.0-1~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 464 Depends: libnifti2 (= 2.0.0-1~squeeze.nd1) Conflicts: libfslio-dev, libnifti0-dev, libnifti1-dev, libniftiio-dev Replaces: libnifti1-dev Homepage: http://niftilib.sourceforge.net Priority: optional Section: libdevel Filename: pool/main/n/nifticlib/libnifti-dev_2.0.0-1~squeeze.nd1_i386.deb Size: 151338 SHA256: 5f907628840dd4c157d714c96ada28368996b5d6c343832dc553af1b0b9939ba SHA1: 479af124a523960bf9768f3756de0f64257947f7 MD5sum: d776ab112afb15d0006427f3117d330e Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the header files and static libraries of libniftiio, znzlib and libnifticdf. Package: libnifti-doc Source: nifticlib Version: 2.0.0-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1896 Homepage: http://niftilib.sourceforge.net Priority: optional Section: doc Filename: pool/main/n/nifticlib/libnifti-doc_2.0.0-1~squeeze.nd1_all.deb Size: 245414 SHA256: c421052431a49808544394d7242ddbd0437c09c001e9936fa302d29b653603d6 SHA1: 16d20e3475e20aaf39aa4df9231cb5117421d33d MD5sum: 1de8bde7f67f9fd2b7f2571ba0212457 Description: NIfTI library API documentation Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the library API reference documentation. Package: libnifti2 Source: nifticlib Version: 2.0.0-1~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 292 Depends: libc6 (>= 2.7), zlib1g (>= 1:1.1.4) Homepage: http://niftilib.sourceforge.net Priority: optional Section: libs Filename: pool/main/n/nifticlib/libnifti2_2.0.0-1~squeeze.nd1_i386.deb Size: 106516 SHA256: 4a3ebc725d6ab85147ceb4432313b46194831375f7a6af562f9eac768ffc6603 SHA1: 62fb913c4852564dc99b6f1a5f6091f4d17d652d MD5sum: 21fe0aa975d9290ecefb6c736cb3849e Description: IO libraries for the NIfTI-1 data format Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package contains the shared library of the low-level IO library niftiio, low-level IO library znzlib and the nifticdf shared library that provides functions to compute cumulative distributions and their inverses. Package: libodin-dev Source: odin Version: 1.8.1-3~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 15604 Homepage: http://od1n.sourceforge.net Priority: extra Section: libdevel Filename: pool/main/o/odin/libodin-dev_1.8.1-3~squeeze.nd1_i386.deb Size: 4026742 SHA256: 6f89e2583ac92cbd7d324e0a7bf6909d5c29ad684a9bed21f408b57017a62ffe SHA1: 30f15cf7d87d4454be0592d4ab5ab87de3a4b095 MD5sum: fe92a978a99660150718d9ef9ad315d1 Description: static libraries and header for ODIN sequences This package provides static libraries and headers of the ODIN libraries odindata, adinpara, odinqt, odinseq and tjutils. They are required for building magnetic resonance imaging (MRI) sequences with ODIN. Package: libopenmeeg-dev Source: openmeeg Version: 2.0.0.dfsg-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: libdevel Filename: pool/main/o/openmeeg/libopenmeeg-dev_2.0.0.dfsg-3~nd60+1_i386.deb Size: 45666 SHA256: 14695678cc08df71c99641e8b7f102d72d7dcf3069159aed2581a02c27e736ce SHA1: 0400e53690fee584ff0c25b49476d01c60f260c9 MD5sum: 0b0fd91aeafbab17f29e12583d17b992 Description: library for solving EEG and MEG forward and inverse problems OpenMEEG provides state-of-the art tools for processing EEG and MEG data. . The forward problem is implemented using the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. The source localization procedures implemented in OpenMEEG are based on a distributed source model, with three different types of regularization: the Minimum Norm, and the L2 and L1 norms of the surface gradient of the sources [Adde et al, 2005]. . This package provides static libraries and header files. Package: libopenmeeg1 Source: openmeeg Version: 2.0.0.dfsg-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 784 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libmatio0, libstdc++6 (>= 4.4.0) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/libopenmeeg1_2.0.0.dfsg-3~nd60+1_i386.deb Size: 232604 SHA256: 6b132147570489305da49a87ca83808cbf82a8d99819b6fda41d2c8b3b6d62e3 SHA1: 3d1b3248416641a08986c9a294ad8ab46c93a6b9 MD5sum: 8289fcbe753b04e4405676799e354cdc Description: library for solving EEG and MEG forward and inverse problems OpenMEEG provides state-of-the art tools for processing EEG and MEG data. . The forward problem is implemented using the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. The source localization procedures implemented in OpenMEEG are based on a distributed source model, with three different types of regularization: the Minimum Norm, and the L2 and L1 norms of the surface gradient of the sources [Adde et al, 2005]. Package: libopenwalnut1 Source: openwalnut Version: 1.2.5-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4952 Depends: neurodebian-popularity-contest, ttf-liberation (>= 1.0.0), libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-signals1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libboost-thread1.42.0 (>= 1.42.0-1), libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libopenscenegraph65 (>= 2.8.3), libopenthreads13 (>= 2.8.3), libstdc++6 (>= 4.4.0) Suggests: nvidia-glx | fglrx-glx Homepage: http://www.openwalnut.org Priority: extra Section: libs Filename: pool/main/o/openwalnut/libopenwalnut1_1.2.5-1~nd60+1_i386.deb Size: 1600056 SHA256: 07a1d3b2efdc9263898f6628e91b12302fc3ea7a58f92860e852b2a365134cea SHA1: 5fe75d1d5f9259cf242faa89953872728b5e1145 MD5sum: 33976f16bd8d2f826fd0d1b4caf6b3e8 Description: Multi-modal medical and brain data visualization tool. OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API of OpenWalnut. Package: libopenwalnut1-dev Source: openwalnut Version: 1.2.5-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2092 Depends: neurodebian-popularity-contest, libopenwalnut1 (= 1.2.5-1~nd60+1), libgl1-mesa-dev | libgl-dev, libopenscenegraph-dev (>= 2.8.1), libopenthreads-dev (>= 2.8.1), libboost-dev (>= 1.42.0), libboost-program-options-dev (>= 1.42.0), libboost-thread-dev (>= 1.42.0), libboost-filesystem-dev (>= 1.42.0), libboost-date-time-dev (>= 1.42.0), libboost-system-dev (>= 1.42.0), libboost-signals-dev (>= 1.42.0), libboost-regex-dev (>= 1.42.0), libeigen3-dev (>= 3.0.0) Homepage: http://www.openwalnut.org Priority: extra Section: libdevel Filename: pool/main/o/openwalnut/libopenwalnut1-dev_1.2.5-1~nd60+1_i386.deb Size: 262318 SHA256: 78ef40bb60a2a74cdd9c3c05861f9d81037b6395ea66ff3a324993c20d03d618 SHA1: 2852278fed8a167787b81f5ad3f1454da7d0aff6 MD5sum: 52faec4f788af3aec1a1ac1229e2f696 Description: Multi-modal medical and brain data visualization tool. OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the headers for the core API of OpenWalnut. Package: libopenwalnut1-doc Source: openwalnut Version: 1.2.5-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41228 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://www.openwalnut.org Priority: extra Section: doc Filename: pool/main/o/openwalnut/libopenwalnut1-doc_1.2.5-1~nd60+1_all.deb Size: 4250672 SHA256: 187d9db9af70ee2c4eed8c47e487a7b1d334f0e80b99634efb5f2569c36e7d6f SHA1: f1960a9063e1a4aaa672f01ecde74e0fba3d6c74 MD5sum: f257fecd36b6860f03e27ea4575b8c51 Description: Multi-modal medical and brain data visualization tool. OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the core API documentation of OpenWalnut. Package: libpam-cgroup Source: libcgroup Version: 0.37.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libcgroup1, libpam0g (>= 0.99.7.1) Homepage: http://sourceforge.net/projects/libcg/ Priority: extra Section: admin Filename: pool/main/libc/libcgroup/libpam-cgroup_0.37.1-1~nd60+1_i386.deb Size: 7618 SHA256: 90c71d1b9da201a45a899f3927e65fa2b09d7786c45cccbc2f1019808896da0f SHA1: f8f1d896274bd85e4830bfe36b233cf8b8a0a0a0 MD5sum: bf0f569cd090e6d20596e26a878625c8 Description: PAM module to move a user session into a cgroup Control Groups provide a mechanism for aggregating/partitioning sets of tasks, and all their future children, into hierarchical groups with specialized behaviour. . This PAM module will move a user session into an existing cgroup by attempting to match uid and gid against the defined cgroup rules configuration. Package: libpgm-5.1-0 Source: libpgm Version: 5.1.116~dfsg-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 312 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://code.google.com/p/openpgm/ Priority: optional Section: libs Filename: pool/main/libp/libpgm/libpgm-5.1-0_5.1.116~dfsg-2~nd60+1_i386.deb Size: 173402 SHA256: 7525f979e98cf0f77004fc6cdd6b560c7f21692fd91a5d28ebacfd5643fb4ca5 SHA1: d121767b6975fb87b8330a40abe9c8c9bb84f077 MD5sum: 5eee85dfa687f3e9ccbec83c9456ec5e Description: OpenPGM shared library OpenPGM is an open source implementation of the Pragmatic General Multicast (PGM) specification in RFC 3208 available at www.ietf.org. PGM is a reliable and scalable multicast protocol that enables receivers to detect loss, request retransmission of lost data, or notify an application of unrecoverable loss. PGM is a receiver-reliable protocol, which means the receiver is responsible for ensuring all data is received, absolving the sender of reception responsibility. PGM runs over a best effort datagram service, currently OpenPGM uses IP multicast but could be implemented above switched fabrics such as InfiniBand. . This is the runtime package for programs that use the OpenPGM library. Package: libpgm-dbg Source: libpgm Version: 5.1.116~dfsg-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 532 Depends: neurodebian-popularity-contest, libpgm-5.1-0 (= 5.1.116~dfsg-2~nd60+1) Homepage: http://code.google.com/p/openpgm/ Priority: extra Section: debug Filename: pool/main/libp/libpgm/libpgm-dbg_5.1.116~dfsg-2~nd60+1_i386.deb Size: 224016 SHA256: 75ec87ca26bf5d0b642c7098b66bad3d0fb3102bd9809739761bd929704ec9ad SHA1: 23110dbb465f0b8c132070b01ea54660e3caed64 MD5sum: 64a0e8b9945eed4ba0714353b7a46513 Description: OpenPGM debugging symbols OpenPGM is an open source implementation of the Pragmatic General Multicast (PGM) specification in RFC 3208 available at www.ietf.org. PGM is a reliable and scalable multicast protocol that enables receivers to detect loss, request retransmission of lost data, or notify an application of unrecoverable loss. PGM is a receiver-reliable protocol, which means the receiver is responsible for ensuring all data is received, absolving the sender of reception responsibility. PGM runs over a best effort datagram service, currently OpenPGM uses IP multicast but could be implemented above switched fabrics such as InfiniBand. . These are the debugging symbols for the library and its utilities. Package: libpgm-dev Source: libpgm Version: 5.1.116~dfsg-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 592 Depends: neurodebian-popularity-contest, libpgm-5.1-0 (= 5.1.116~dfsg-2~nd60+1) Conflicts: libnetpbm9-dev Homepage: http://code.google.com/p/openpgm/ Priority: optional Section: libdevel Filename: pool/main/libp/libpgm/libpgm-dev_5.1.116~dfsg-2~nd60+1_i386.deb Size: 230920 SHA256: a33f3ebd9a7ec5b60a7e64b206996118d443377444231dd67a8782217fe3a042 SHA1: ea719d7a9db052726f1404f2de2efe768509f341 MD5sum: 9f08f5b663518e2c0ef8b5290d5e9bfa Description: OpenPGM development files OpenPGM is an open source implementation of the Pragmatic General Multicast (PGM) specification in RFC 3208 available at www.ietf.org. PGM is a reliable and scalable multicast protocol that enables receivers to detect loss, request retransmission of lost data, or notify an application of unrecoverable loss. PGM is a receiver-reliable protocol, which means the receiver is responsible for ensuring all data is received, absolving the sender of reception responsibility. PGM runs over a best effort datagram service, currently OpenPGM uses IP multicast but could be implemented above switched fabrics such as InfiniBand. . This is the development package which contains headers and static libraries for the OpenPGM library. Package: librtfilter-dev Source: rtfilter Version: 1.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 64 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libdevel Filename: pool/main/r/rtfilter/librtfilter-dev_1.1-1~nd60+1_i386.deb Size: 12548 SHA256: df174faa858ca64d19da6fc2a42839520146f799437b825ad253feb3a01e30f5 SHA1: 0fad348d96c58d44bda632b869f89f07eb9e66ca MD5sum: 2912d748da5740da3f85603cdf3cbf12 Description: reatime digital filtering library (development files) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package contains the files needed to compile and link programs which use rtfilter. Package: librtfilter1 Source: rtfilter Version: 1.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libc6 (>= 2.2) Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: libs Filename: pool/main/r/rtfilter/librtfilter1_1.1-1~nd60+1_i386.deb Size: 26412 SHA256: f796dbf1530a056a9d16b71dda0f35d18cde00d454802216414512accd657176 SHA1: 0fddcb900a3a486d60fafe2e372da042a8b2bd90 MD5sum: e4745dc2e2b3958c2b3b5729d8352564 Description: reatime digital filtering library rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). Package: librtfilter1-dbg Source: rtfilter Version: 1.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, librtfilter1 (= 1.1-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/rtfilter.html Priority: extra Section: debug Filename: pool/main/r/rtfilter/librtfilter1-dbg_1.1-1~nd60+1_i386.deb Size: 27544 SHA256: e23d68c2c4d312228a8be019f0895fc3703dbbdc033516560c7303a8f59ae4b2 SHA1: 7965006ac986f7e5fe416e4c740accef2122bedb MD5sum: 89311bf3482815fb5cf120100432db9b Description: reatime digital filtering library (debugging symbols) rtfilter is a library that provides a set of routines implementing realtime digital filter for multichannel signals (i.e. filtering multiple signals with the same filter parameters). It implements FIR, IIR filters and downsampler for float and double data type (both for real and complex valued signal). Additional functions are also provided to design few usual filters: Butterworth, Chebyshev, windowed sinc, analytical filter... . One of the main differences from other libraries providing digital signal processing is that the filter functions have been specifically designed and optimized for multichannel signals (from few channels to several hundred). . This package provides the debugging symbols of the library. Package: libslicer3 Source: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: i386 Maintainer: Debian Science Team Installed-Size: 109604 Depends: libc6 (>= 2.3.6-6~), libcurl3 (>= 7.16.2-1), libgcc1 (>= 1:4.1.1), libgdcm2.0 (>= 2.0.12), libinsighttoolkit3.16, libkwwidgets1.0.0908, libstdc++6 (>= 4.1.1), libteem1 (>= 1.10.0), libvtk5.2, tcl8.5 (>= 8.5.0), vtk-tcl, zlib1g (>= 1:1.1.4) Homepage: http://www.slicer.org/ Priority: optional Section: libs Filename: pool/main/s/slicer/libslicer3_3.4.0~svn10438-3~squeeze.nd1_i386.deb Size: 25230644 SHA256: 0a5aef02cd1f481d15f853cb83fde6d34c21b2cc8c17bcb1b55e611db7b736e7 SHA1: b71c5599158dc1d45f6d7c311bda8b3978f2b33c MD5sum: a36e4011d8a5b77b8844383815b36bcb Description: software package for visualization and image analysis - runtime Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer libraries. Package: libslicer3-dev Source: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: i386 Maintainer: Debian Science Team Installed-Size: 3088 Depends: libslicer3 (= 3.4.0~svn10438-3~squeeze.nd1) Conflicts: libmrml1-dev Homepage: http://www.slicer.org/ Priority: optional Section: libdevel Filename: pool/main/s/slicer/libslicer3-dev_3.4.0~svn10438-3~squeeze.nd1_i386.deb Size: 446332 SHA256: 17bb3f3cb59d5a3f2f659f5deb7fe5f430042b3a1f11fd866a8554813a2a24c7 SHA1: b8d299264486671b5e088db0d9475cdb52a06cb0 MD5sum: 630b7119115ae8f53f2e78cb4728c658 Description: software package for visualization and image analysis - development Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer development files. Package: libsvm-dev Source: libsvm Version: 3.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd60+1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libdevel Filename: pool/main/libs/libsvm/libsvm-dev_3.0-1~nd60+1_i386.deb Size: 39864 SHA256: dd0cb500d6522ffe7aa367abbfc85a720d36ffac44166c3604d831c6892908d3 SHA1: 4322115b6d1ff50cebe9516a89f3fc61ed254a52 MD5sum: 9eb917105dbf2030bdf2e51041b8efa6 Description: The LIBSVM header files These are the header files for LIBSVM, a machine-learning library. Package: libsvm-java Source: libsvm Version: 3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 48 Depends: neurodebian-popularity-contest, libsvm3-java Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm-java_3.0-1~nd60+1_all.deb Size: 13482 SHA256: 747f6bbaa0672dd192c281637bd277fabe9147c7d20168f2b6fd17e20038e3de SHA1: db5548e811b699c6a300814200cf0e949dcce62f MD5sum: d984c74835cf5628722c9688890e79c3 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. . This package solely provides a symbolic link from svm.jar svm3.jar. Package: libsvm-tools Source: libsvm Version: 3.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 320 Depends: neurodebian-popularity-contest, libc6 (>= 2.1), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python, gnuplot Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: devel Filename: pool/main/libs/libsvm/libsvm-tools_3.0-1~nd60+1_i386.deb Size: 112540 SHA256: e3657ca5c25405dcbdcd9fc678c452ed1a91f7736e52d322691d5b1ccb139c9f SHA1: 232ab1646cecc3ef778f641befcf84d232cc0603 MD5sum: 15248e6a65b48910dd5054688e6e56c3 Description: The LIBSVM binary tools LIBSVM is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. LIBSVM homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm Package: libsvm3 Source: libsvm Version: 3.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 120 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: libs Filename: pool/main/libs/libsvm/libsvm3_3.0-1~nd60+1_i386.deb Size: 42924 SHA256: 790a966d496326803362bc905ec6be41254d48a3dc9efa9499791a0bf36739a1 SHA1: f578711335527f364359d5195d9b302f00341fca MD5sum: 54299518cb1ff003857baba112f5ef1c Description: library implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers. Package: libsvm3-java Source: libsvm Version: 3.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, gij | java-gcj-compat | java1-runtime | java2-runtime Suggests: java-virtual-machine Conflicts: libsvm2-java (<= 2.91-2) Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: java Filename: pool/main/libs/libsvm/libsvm3-java_3.0-1~nd60+1_all.deb Size: 60470 SHA256: c987074f9d3999f640bfcb339c768614ff592d3912a0ed5612b1a7dce443057d SHA1: 3c15a635564faded13725b2e51510f4dfb8cf7cf MD5sum: 9ee4532e7ca8eb5d96ef4c8bd603a7b4 Description: Java API to support vector machine library The functionality of the libsvm are offered in a single jar file. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. Package: libvia-dev Source: via Version: 2.0.4-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 648 Depends: neurodebian-popularity-contest, libvia2 (= 2.0.4-2~nd60+1), x11proto-core-dev Conflicts: via-dev Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libdevel Filename: pool/main/v/via/libvia-dev_2.0.4-2~nd60+1_i386.deb Size: 210960 SHA256: d1f17ee242d153de3d2a24e3e50df01b49004aa7f757efb8d83a308d5cf98f39 SHA1: 37eba6879be0fcacbefb529bbdb0b3c9bef35f5d MD5sum: c280242aee51c820234578d051a4b949 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the header files and static libraries of vialib, vxlib and viaio. Package: libvia-doc Source: via Version: 2.0.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1084 Depends: neurodebian-popularity-contest Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/v/via/libvia-doc_2.0.4-2~nd60+1_all.deb Size: 115734 SHA256: 91c80bb11eb66c49556d0406b465a4a14585c487049c208e10d38bbc0236fb32 SHA1: 420196944169b914df4234754a5e361bf8f5c6df MD5sum: 74cad029d3563ea0883f26c18cebde66 Description: VIA library API documentation VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the library API reference documentation. Package: libvia0 Source: via Version: 1.6.0-2~squeeze.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 440 Depends: lesstif2 (>= 1:0.94.4), libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.3), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libsm6, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/libvia0_1.6.0-2~squeeze.nd1_i386.deb Size: 179612 SHA256: c43e468df2e6dbb08cfd296b00bf0b8a16e8e19ea0bf8e59bcafee1aedc629d4 SHA1: d51eea6874085fcf58f23cc6d3aa5a53dcba5cf6 MD5sum: ca7372905cb4b9fad56ebf481610227d Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package contains the shared libraries of vialib, vxlib and viaio. Package: libvia2 Source: via Version: 2.0.4-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 400 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libsm6, libx11-6, libxext6, libxmu6, libxt6 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: libs Filename: pool/main/v/via/libvia2_2.0.4-2~nd60+1_i386.deb Size: 176888 SHA256: 0ade8a47596b6eb3a886f6bdbc9a4dc49aadebfc26c69e6761a047ef642dbd7a SHA1: 639f16cf6814ff6cc9fb7bf8a25a4243573f3b29 MD5sum: 2b7639aa74631cad4f2b80b7dc178211 Description: library for volumetric image analysis VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package contains the shared libraries of vialib, vxlib and viaio. Package: libxdffileio-dev Source: xdffileio Version: 0.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 100 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.2-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libdevel Filename: pool/main/x/xdffileio/libxdffileio-dev_0.2-1~nd60+1_i386.deb Size: 27708 SHA256: 2121918ec1390f86583caa5de198154b85f44001c4466b2fa4d2e69688ee7cdd SHA1: 04d47a86edb88bf83999e54f80155665791874e1 MD5sum: e17b04e1202663d0fd21f42a43250975 Description: Library to read/write EEG data file formats (development files) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package contains the files needed to compile and link programs which use xdffileio. Package: libxdffileio0 Source: xdffileio Version: 0.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 104 Depends: neurodebian-popularity-contest, libc6 (>= 2.7) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: libs Filename: pool/main/x/xdffileio/libxdffileio0_0.2-1~nd60+1_i386.deb Size: 40364 SHA256: d45e666625c9ff5a18b2c4a483c12fabd18faa6f247b15f2fe2ed29d95bb5470 SHA1: 0dd7bc4bb58223074265f13e416d9a36071cddad MD5sum: b09f02defd3e5c30252f2a233bd2edc4 Description: Library to read/write EEG data file formats xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead of the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. Package: libxdffileio0-dbg Source: xdffileio Version: 0.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 136 Depends: neurodebian-popularity-contest, libxdffileio0 (= 0.2-1~nd60+1) Homepage: http://cnbi.epfl.ch/software/xdffileio.html Priority: extra Section: debug Filename: pool/main/x/xdffileio/libxdffileio0-dbg_0.2-1~nd60+1_i386.deb Size: 56350 SHA256: 74e5614c37ebc6eff6fbdfe7bf8e71c510edb9a9a77692689497f4901ace68b6 SHA1: b7c3a39d5ef7ad52ddaca5e94bac57706c2a4e30 MD5sum: 60a12efa7b0e3f0556ba3f4ccd14c0a2 Description: Library to read/write EEG data file formats (debugging symbols) xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)). . The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future. . This package provides the debugging symbols of the library. Package: libzmq-dbg Source: zeromq Version: 2.1.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1668 Depends: neurodebian-popularity-contest, libzmq1 (= 2.1.7-1~nd60+1) Homepage: http://www.zeromq.org/ Priority: extra Section: debug Filename: pool/main/z/zeromq/libzmq-dbg_2.1.7-1~nd60+1_i386.deb Size: 671484 SHA256: 2a17b02473f1f4b3fb34d0622d020fa291841d97b6c836b71de6d85c2fba42bc SHA1: dc6372bdf48bfcdc6c8aa1fe3ef5d2c3bdf43919 MD5sum: 35f5823d56817931aeb55ef20d14ee1f Description: ZeroMQ lightweight messaging kernel (debugging symbols) The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the debugging synmbols for the ZeroMQ library. Package: libzmq-dev Source: zeromq Version: 2.1.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 848 Depends: neurodebian-popularity-contest, libzmq1 (= 2.1.7-1~nd60+1) Homepage: http://www.zeromq.org/ Priority: optional Section: libdevel Filename: pool/main/z/zeromq/libzmq-dev_2.1.7-1~nd60+1_i386.deb Size: 336632 SHA256: 81183f7f8942d486fbcc88f228ea5d67db9c4383eb2968da2958264e9c100b68 SHA1: ce5be2e7219646925666d7c3f06c9ac98aefcbb4 MD5sum: 2e51a1ac43b58f1daabe4aaba90a380f Description: ZeroMQ lightweight messaging kernel (development libraries and header files) The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the ZeroMQ development libraries and header files. Package: libzmq1 Source: zeromq Version: 2.1.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 396 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libpgm-5.1-0 (>= 5.1.116~dfsg), libstdc++6 (>= 4.2.1), libuuid1 (>= 2.16) Homepage: http://www.zeromq.org/ Priority: optional Section: libs Filename: pool/main/z/zeromq/libzmq1_2.1.7-1~nd60+1_i386.deb Size: 223142 SHA256: e1140f134cbfa2fa5a515b3fa449e0764ea8bfba382d4c58a36cadb3ab3a9090 SHA1: 9bc56eecefd9fc24e7ba7784dc72c8fc95250841 MD5sum: 2ed04feb85fa88edc93f1f47b416597e Description: ZeroMQ lightweight messaging kernel (shared library) The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the ZeroMQ shared library. Package: lipsia Version: 1.6.0-4~squeeze.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 3448 Depends: libc6 (>= 2.7), libdcmtk1 (>= 3.5.4), libfftw3-3, libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libnifti2, libqt3-mt (>= 3:3.3.8b), libsm6, libstdc++6 (>= 4.4.0), libvia0, libx11-6, libxext6, zlib1g (>= 1:1.1.4), via-bin Recommends: dcmtk, lipsia-doc Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: science Filename: pool/main/l/lipsia/lipsia_1.6.0-4~squeeze.nd1_i386.deb Size: 1273038 SHA256: 92d251834c3ed15a8d3defdf58787e0297bade1a9f21247a5c17b88e53d5a480 SHA1: cff2550e197690bfaaec4e761179867019cc019f MD5sum: 97baff1322c502374375163975369928 Description: analysis suite for MRI and fMRI data Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA) . This is a software package for the data processing and evaluation of functional magnetic resonance images. The analysis of fMRI data comprises various aspects including filtering, spatial transformation, statistical evaluation as well as segmentation and visualization. All these aspects are covered by LIPSIA. For the statistical evaluation, a number of well established and peer-reviewed algorithms were implemented in LIPSIA that allow an efficient and user-friendly processing of fMRI data sets. As the amount of data that must be handled is enormous, an important aspect in the development of LIPSIA was the efficiency of the software implementation. . LIPSIA operates exclusively on data in the VISTA data format. However, the package contains converters for medical image data in iBruker, ANALYZE and NIfTI format -- converting VISTA images into NIfTI files is also supported. Package: lipsia-doc Source: lipsia Version: 1.6.0-4~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 7004 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/l/lipsia/lipsia-doc_1.6.0-4~squeeze.nd1_all.deb Size: 5539242 SHA256: 698077dd0ec212ab7db8d81fb1ea253fde3176d0817184edf9cc35f1b634be0b SHA1: 9370ec74bf24fddf9143bc0556f7f3535560b929 MD5sum: 5d38c0c06db5d46971b92e261ab545db Description: documentation for LIPSIA Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA) . This package provides the LIPSIA documentation in HTML format. Package: matlab-support-dev Source: matlab-support Version: 0.0.17~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: neurodebian-popularity-contest Conflicts: matlab-dev (<= 0.0.14~) Replaces: matlab-dev (<= 0.0.14~) Priority: optional Section: devel Filename: pool/main/m/matlab-support/matlab-support-dev_0.0.17~nd60+1_all.deb Size: 6714 SHA256: c9d8769cacb4434c53f934103443e67c2d7fcab602d844981859e19d5502083f SHA1: 7dab897a32b5738abfc1d0f2922dc09ceeafdfe4 MD5sum: 5cd8e52173ced3af71ff2a4fa0f5c598 Description: helpers for packages building MATLAB toolboxes This package provides a Makefile snippet (analogous to the one used for Octave) that configures the locations for architecture independent M-files, binary MEX-extensions, and their corresponding sources. This package can be used as a build-dependency by other packages shipping MATLAB toolboxes. Package: mitools Source: odin Version: 1.8.1-3~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 6236 Depends: libblitz0ldbl (>= 0.9), libc6 (>= 2.3.6-6~), libdcmtk1 (>= 3.5.4), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libnifti2, liboil0.3 (>= 0.3.10), libpng12-0 (>= 1.2.13-4), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.5.3), libqwt5-qt4, libstdc++6 (>= 4.4.0), libvia0, libvtk5.4, zlib1g (>= 1:1.1.4), dcmtk Recommends: grace Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/mitools_1.8.1-3~squeeze.nd1_i386.deb Size: 2378350 SHA256: 34169a7105b1e99036adcd851feb0f10d65b5373ad27dc029d5e3cd2ccf26313 SHA1: a6c58f078a5fb9c5b53cdb3aea709c18791e32fc MD5sum: 6e4f8ba474af1a3eddb3fdfb3187b033 Description: view, convert and perform basic maths with medical image datasets The three contained tools micalc, miconv and miview are handy command-line utilities for converting, manipulating and viewing medical image data in various formats (DICOM, NIfTI, PNG, binary data, ...). Package: mriconvert Version: 2.0.217-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2112 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0), libwxbase2.8-0 (>= 2.8.10.1), libwxgtk2.8-0 (>= 2.8.10.1) Homepage: http://lcni.uoregon.edu/~jolinda/MRIConvert/ Priority: optional Section: science Filename: pool/main/m/mriconvert/mriconvert_2.0.217-3~nd60+1_i386.deb Size: 766754 SHA256: a8d842a1add5b2d940f664df47cdf5570940575a3e0f2c82d3bd6558760ee3ae SHA1: b98f99c53ab5d4f547fb3ad84e3533e6913e4e61 MD5sum: c003d19047bec91265024cbc14b8b05a Description: medical image file conversion utility MRIConvert is a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats. Package: mricron Version: 0.20110812.1~dfsg.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10716 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.29.3), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libglib2.0-0 (>= 2.12.0), libgtk2.0-0 (>= 2.8.0), libpango1.0-0 (>= 1.14.0), libx11-6, mricron-data Suggests: mricron-doc, fsl Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron_0.20110812.1~dfsg.1-1~nd60+1_i386.deb Size: 4077572 SHA256: 682ed00f27b623aa28fd412ff9b4a85ac0bcc114e9a78cb4e6573fc53e641fb2 SHA1: 036e6cf55ef27b309ba0d43bca060cb8171053fe MD5sum: 8ed2647d71ad3dcd6bc9c1831b4a5039 Description: magnetic resonance image conversion, viewing and analysis This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . In addition to 'mricron', this package also provides 'dcm2nii' that supports converting DICOM and PAR/REC images into the NIfTI format, and 'npm' for non-parametric data analysis. Package: mricron-data Source: mricron Version: 0.20110812.1~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1808 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: science Filename: pool/main/m/mricron/mricron-data_0.20110812.1~dfsg.1-1~nd60+1_all.deb Size: 1666862 SHA256: bded81e3b313fa771e7093c3f0bb7b02863a51b639557b449075d8c40b8db1f8 SHA1: 01ba88abd684db564ed60256faa8fa29a44a6b29 MD5sum: 90c797bbd3a1ab0d932f571e93b4df28 Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides data files for MRIcron, such as brain atlases, anatomy, and color schemes. Package: mricron-doc Source: mricron Version: 0.20110812.1~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1180 Depends: neurodebian-popularity-contest Homepage: http://www.cabiatl.com/mricro/mricron/index.html Priority: extra Section: doc Filename: pool/main/m/mricron/mricron-doc_0.20110812.1~dfsg.1-1~nd60+1_all.deb Size: 738344 SHA256: 9d3809ef7908369dfcdc7031e23a3576efc6104f004dd685df7a99ead165cd95 SHA1: a7f30ea73829619c6bc057111d0ce45f0e80ae6a MD5sum: 4916863cc74d60bb0862906cafad154a Description: data files for MRIcron This is a GUI-based visualization and analysis tool for (functional) magnetic resonance imaging. MRIcron can be used to create 2D or 3D renderings of statistical overlay maps on brain anatomy images. Moreover, it aids drawing anatomical regions-of-interest (ROI), or lesion mapping, as well as basic analysis of functional timeseries (e.g. creating plots of peristimulus signal-change). . This package provides documentation for MRIcron in HTML format. Package: mrtrix Version: 0.2.10-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 7152 Depends: neurodebian-popularity-contest, libatk1.0-0 (>= 1.29.3), libc6 (>= 2.3.6-6~), libcairo2 (>= 1.2.4), libcairomm-1.0-1 (>= 1.6.4), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglibmm-2.4-1c2a (>= 2.24.0), libglu1-mesa | libglu1, libgsl0ldbl (>= 1.9), libgtk2.0-0 (>= 2.8.0), libgtkglext1, libgtkmm-2.4-1c2a (>= 1:2.20.0), libice6 (>= 1:1.0.0), libpango1.0-0 (>= 1.14.0), libpangomm-1.4-1 (>= 2.26.0), libsigc++-2.0-0c2a (>= 2.0.2), libsm6, libstdc++6 (>= 4.3), libx11-6, libxmu6, libxt6 Suggests: mrtrix-doc Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: science Filename: pool/main/m/mrtrix/mrtrix_0.2.10-1~nd60+1_i386.deb Size: 2526738 SHA256: 5209e438be9e20f399afce87ef9ac99a821037eaa591a255df97a0318ce06e0f SHA1: 52195b24b98eacc5a633863d3353b14f54333fc8 MD5sum: ff01870866351a4ee787c250d4f84325 Description: diffusion-weighted MRI white matter tractography Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. Package: mrtrix-doc Source: mrtrix Version: 0.2.10-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3696 Depends: neurodebian-popularity-contest Homepage: http://www.brain.org.au/software/mrtrix Priority: extra Section: doc Filename: pool/main/m/mrtrix/mrtrix-doc_0.2.10-1~nd60+1_all.deb Size: 3322008 SHA256: b58b506611c0c27969e478e21e2f5d2d36b5add16753675eb7ea3a8c2d2ec7dd SHA1: 387e41f7590acacd1a8aaf63f2df89ee673c1234 MD5sum: c0ec30d6ccdedb91c4b5f5e7ae62de2f Description: documentation for mrtrix Set of tools to perform diffusion-weighted MRI white matter tractography of the brain in the presence of crossing fibres, using Constrained Spherical Deconvolution, and a probabilisitic streamlines algorithm. Magnetic resonance images in DICOM, ANALYZE, or uncompressed NIfTI format are supported. . This package provides the documentation in HTML format. Package: neurodebian-desktop Source: neurodebian Version: 0.27~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 268 Depends: ssh-askpass-gnome | ssh-askpass, desktop-base, gnome-icon-theme, neurodebian-popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-desktop_0.27~nd60+1_all.deb Size: 113592 SHA256: 3bbf2a70e798c6a4dcf3832f160b4a13ff900d897fe3160de948cab6f22440f9 SHA1: 8f189d8e676a3229f2f9823d87c757c01a631808 MD5sum: 5e77d497dfba7c79017d26efe828e73b Description: neuroscience research environment This package contains NeuroDebian artwork (icons, background image) and a NeuroDebian menu featuring most popular neuroscience tools automatically installed upon initial invocation. Package: neurodebian-dev Source: neurodebian Version: 0.27~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5860 Depends: devscripts, cowbuilder, neurodebian-keyring Recommends: python, zerofree, moreutils, time, ubuntu-keyring Suggests: virtualbox-ose, virtualbox-ose-fuse Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-dev_0.27~nd60+1_all.deb Size: 5087684 SHA256: 4c4c2a08752a64cfd2b8bff5ca4201ad3b939748037481af4be04b071e7d04ea SHA1: 96b91988b4375f6bf6e2ee331207b5016f5427a4 MD5sum: 3bd3774c1ec10af9ffa907b5930da769 Description: NeuroDebian development tools neuro.debian.net sphinx website sources and development tools used by NeuroDebian to provide backports for a range of Debian/Ubuntu releases. Package: neurodebian-guest-additions Source: neurodebian Version: 0.27~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 Pre-Depends: virtualbox-ose-guest-utils, virtualbox-ose-guest-x11, virtualbox-ose-guest-dkms Depends: sudo, neurodebian-desktop, gdm, update-manager-gnome, update-notifier Recommends: chromium-browser Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-guest-additions_0.27~nd60+1_all.deb Size: 13428 SHA256: 264fed30a6ea8eee792cb96eae5b3be95fe8bb150c6f95c1885997d42db36414 SHA1: e097c91ae560d44f2f9927b536728a18197ee920 MD5sum: 2daa6a57679cb9e306a1aab29558ae58 Description: NeuroDebian guest additions (DO NOT INSTALL OUTSIDE VIRTUALBOX) This package configures a Debian installation as a guest operating system in a VirtualBox-based virtual machine for NeuroDebian. . DO NOT install this package unless you know what you are doing! For example, installation of this package relaxes several security mechanisms. Package: neurodebian-keyring Source: neurodebian Version: 0.27~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 20 Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-keyring_0.27~nd60+1_all.deb Size: 6388 SHA256: 8c580e67fd3903760e85187cb8fc92cf64c8670e35a010d3fb981fdd17542537 SHA1: 083977f61b430b0f30488eb4455376314132ae3c MD5sum: aeaa3880aabcf491e1983d93d53daaf9 Description: GnuPG archive keys of the NeuroDebian archive The NeuroDebian project digitally signs its Release files. This package contains the archive keys used for that. Package: neurodebian-popularity-contest Source: neurodebian Version: 0.27~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 16 Depends: popularity-contest Homepage: http://neuro.debian.net Priority: optional Section: science Filename: pool/main/n/neurodebian/neurodebian-popularity-contest_0.27~nd60+1_all.deb Size: 5558 SHA256: 8c7a72d9c6c992d3457f970171b09c20e7302a65c2790deedffa2522319bd924 SHA1: dd3379eaf84e63511f46dfd14234548a603abac0 MD5sum: d904ce11883672dd4f7ce4b70f45f7d4 Description: Helper for NeuroDebian popularity contest submissions This package is a complement to the generic popularity-contest package to enable anonymous submission of usage statistics to NeuroDebian in addition to the popcon submissions to the underlying distribution (e.g. Debian or Ubuntu) popcon server. . Your participation in popcon is important for following reasons: - Popular packages receive more attention from developers, bugs are fixed faster and updates are provided quicker. - Assure that we do not drop support for a previous release of Debian or Ubuntu while are active users. - User statistics could be used by upstream research software developers to acquire funding for continued development. . It has an effect only if you have decided to participate in the Popularity Contest of your distribution, i.e. Debian or Ubuntu. You can always enable or disable your participation in popcon by running 'dpkg-reconfigure popularity-contest' as root. Package: nifti-bin Source: nifticlib Version: 2.0.0-1~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 188 Depends: libc6 (>= 2.7), libnifti2 Homepage: http://niftilib.sourceforge.net Priority: optional Section: utils Filename: pool/main/n/nifticlib/nifti-bin_2.0.0-1~squeeze.nd1_i386.deb Size: 59178 SHA256: 2990e1363bb38f8f721f787c5728027dcf4eb56c6594cf5da39bda4cac9ec909 SHA1: 5eb049efc861aedebf8260759171d809cb4e8bb5 MD5sum: 18a4ed953057c85252118ddacd512538 Description: tools shipped with the NIfTI library Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. . This package provides the tools that are shipped with the library (nifti_tool, nifti_stats and nifti1_test). Package: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 36 Depends: python-nibabel (>= 1.0.0), python-nipy (>= 0.1.2+20110114), python-dipy (>= 0.5.0), python-nipype (>= 0.3.3), python-nitime (>= 0.2) Suggests: python-mvpa, psychopy Homepage: http://www.nipy.org Priority: extra Section: python Filename: pool/main/n/nipy-suite/nipy-suite_0.1.0-2_all.deb Size: 3898 SHA256: 882c8580ebd2d458a92f8d851d1ec9291fecf05f6ed98a8b754eb831c95368c8 SHA1: 6501d1d201160520f5aad29d0f9007c17b7d9778 MD5sum: eb090e568264d2f439892bcb98485b8c Description: Neuroimaging in Python NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. nipy-suite is a metapackage depending on the projects developed under NiPy project umbrella, such as - nibabel: bindings to various neuroimaging data formats - nipy: analysis of structural and functional neuroimaging data - nitime: timeseries analysis - dipy: analysis of MR diffusion imaging data - nipype: pipelines and worfklows Package: nipy-suite-doc Source: nipy-suite Version: 0.1.0-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 32 Depends: python-nibabel-doc (>= 1.0.0), python-nipy-doc (>= 0.1.2+20110114), python-dipy-doc (>= 0.5.0), python-nipype-doc (>= 0.3.3), python-nitime-doc (>= 0.2) Suggests: python-mvpa-doc Homepage: http://www.nipy.org Priority: extra Section: doc Filename: pool/main/n/nipy-suite/nipy-suite-doc_0.1.0-2_all.deb Size: 2250 SHA256: 54985bd9d6eaa352608b357f2deeb066bd2ac12d3c2e463082f5d9178701bbad SHA1: 5d2f5e94ff6b7ff737fe966f4a2e5ff67df93cca MD5sum: 37d2f8b6b6d203edf208afb0cdb56fa3 Description: Neuroimaging in Python -- documentation NiPy is a comprehensive suite of Python modules to perform analysis of Neuroimaging data in Python. . nipy-suite-doc is a metapackage depending on the documentation packages for NiPy projects. Package: numdiff Version: 5.6.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 860 Depends: neurodebian-popularity-contest, libc6 (>= 2.3), dpkg (>= 1.15.4) | install-info Homepage: http://nongnu.org/numdiff/ Priority: extra Section: science Filename: pool/main/n/numdiff/numdiff_5.6.0-1~nd60+1_i386.deb Size: 596410 SHA256: 4ba7cffd42451eb30799e1a7fff12958b33fd7bb6fbb9721dedb40733d3a1d3a SHA1: 99f717f2362ea6cc743a451d05550d889caffc28 MD5sum: df52bcae5f128a6889c65e1c9000b042 Description: Compare similar files with numeric fields. Numdiff is a console application that can be used to compare putatively similar files line by line and field by field, ignoring small numeric differences or/and different numeric formats. It is similar diff or wdiff, but it is aware of floating point numbers including complex and multi-precision numbers. Numdiff is useful to compare text files containing numerical fields, when testing or doing quality control in scientific computing or in numerical analysis. Package: octave-biosig Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 56 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libbiosig0, libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.1.3), libcholmod1.7.1 (>= 1:3.4.0), libfftw3-3, libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.3), libhdf5-serial-1.8.4 | libhdf5-1.8.4, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libncurses5 (>= 5.7+20100313), libreadline6 (>= 6.0), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: science Filename: pool/main/b/biosig4c++/octave-biosig_0.96.3+svn2677-3~nd60+1_i386.deb Size: 19164 SHA256: 038c64a50cac4416d2e428c8f27dd289033571004eb87931fd9f876d274e9f66 SHA1: b7ba79beab9433b7274d427772dc06fbb3e45d99 MD5sum: 3dbf46a2b1f3ddf6ea962fada0567731 Description: Octave bindings for BioSig library This package provides Octave bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: octave-gdf Source: libgdf Version: 0.1.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 344 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libgdf0, libstdc++6 (>= 4.4.0) Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: science Filename: pool/main/libg/libgdf/octave-gdf_0.1.2-1~nd60+1_i386.deb Size: 135762 SHA256: 9643d3a708715c38e5b565d7d9366c885af4099a3d15790d40630c72bd3be34b SHA1: ad17d6c6da35dc4a2f18c22344c74b5c9c0eeae1 MD5sum: bcdb6380430298a0b67074bac53ee122 Description: IO library for the GDF -- Octave interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package provides Octave bindings for libgdf. Package: octave-psychtoolbox-3 Source: psychtoolbox-3 Version: 3.0.9+svn2539.dfsg1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2292 Depends: neurodebian-popularity-contest, octave3.2 (>= 3.2.4), freeglut3, libasound2 (>> 1.0.18), libc6 (>= 2.7), libdc1394-22, libfreenect0.1 (>= 1:0.1.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglew1.6 (>= 1.6.0), libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libgstreamer-plugins-base0.10-0 (>= 0.10.23), libgstreamer0.10-0 (>= 0.10.24), libopenal1, libpciaccess0 (>= 0.8.0+git20071002), libstdc++6 (>= 4.1.1), libusb-1.0-0 (>= 2:1.0.8), libx11-6 (>= 2:1.2.99.901), libxext6, libxi6 (>= 2:1.2.99.4), libxml2 (>= 2.6.27), libxrandr2 (>= 2:1.2.99.3), libxxf86vm1, psychtoolbox-3-common (= 3.0.9+svn2539.dfsg1-1~nd60+1), psychtoolbox-3-lib (= 3.0.9+svn2539.dfsg1-1~nd60+1) Recommends: octave-audio, octave-image, octave-optim, octave-signal, octave-statistics Provides: psychtoolbox, psychtoolbox-3 Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/octave-psychtoolbox-3_3.0.9+svn2539.dfsg1-1~nd60+1_i386.deb Size: 785524 SHA256: 19e7379b40c3418227b0f2d809abbb3e24142e40b94d8780f17c41711331bd43 SHA1: 608302a7de879df77a86428f1ab8ea77dd6e4bcd MD5sum: 232a0052393368c1637600a1a8a25780 Description: toolbox for vision research -- Octave bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains bindings for Octave. Package: odin Version: 1.8.1-3~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 4000 Depends: libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.4.0), libvtk5.4, mitools (= 1.8.1-3~squeeze.nd1), libodin-dev, libgsl0-dev, libc6-dev | libc-dev, g++, libblas-dev | libatlas-base-dev, xterm | x-terminal-emulator, gdb Recommends: liboil0.3-dev | liboil-dev, libdcmtk1-dev Homepage: http://od1n.sourceforge.net Priority: extra Section: science Filename: pool/main/o/odin/odin_1.8.1-3~squeeze.nd1_i386.deb Size: 1547432 SHA256: 023ad14334f378adad8d680c8e6e1372821795ec064fe05ac85a09fea9b7dd15 SHA1: 899697a83502d5a8e20e5fcbfd07ca82932e50b8 MD5sum: e076da095a8af0280156721535f83e6d Description: develop, simulate and run magnetic resonance sequences ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework. Package: openelectrophy Version: 0.0.svn143-1~squeeze.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 92 Depends: python, python-pyssdh (= 0.0.svn143-1~squeeze.nd1) Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: science Filename: pool/main/o/openelectrophy/openelectrophy_0.0.svn143-1~squeeze.nd1_all.deb Size: 34368 SHA256: d3c29b416792bf1d8ca68eb2af7da3b0d60a8f0d836fa9d1d3b83cdd9329b878 SHA1: 1f8d2aca09d37c8e5efb01093a0e10909a862e38 MD5sum: 78bfb172b4686b3985ab9ee42929d028 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy GUI. Package: openmeeg-tools Source: openmeeg Version: 2.0.0.dfsg-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 484 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libstdc++6 (>= 4.4.0) Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: science Filename: pool/main/o/openmeeg/openmeeg-tools_2.0.0.dfsg-3~nd60+1_i386.deb Size: 150434 SHA256: 8ed0ca2f24cc202954fc28f8d2777fa854b69e3998bd97dd4bdff22c85d5485f SHA1: 6f335a827c5fa3610c639c2dc138a405095e09c1 MD5sum: e72df70b1f013416d463560de1eb1822 Description: tools for solving EEG and MEG forward and inverse problems OpenMEEG provides state-of-the art tools for processing EEG and MEG data. . The forward problem is implemented using the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. The source localization procedures implemented in OpenMEEG are based on a distributed source model, with three different types of regularization: the Minimum Norm, and the L2 and L1 norms of the surface gradient of the sources [Adde et al, 2005]. . This package provides command line tools. Package: opensesame Version: 0.25-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5000 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-qt4, python-pygame (>= 1.8.1~), python-numpy (>= 1.3.0~), python-qscintilla2 Recommends: python-serial (>= 2.3~), psychopy (>= 1.64.0), python-pyaudio (>= 0.2.4), python-imaging (>= 1.1.7), python-opengl (>= 3.0.1) Homepage: http://www.cogsci.nl/software/opensesame Priority: extra Section: science Filename: pool/main/o/opensesame/opensesame_0.25-1~nd60+1_all.deb Size: 2848320 SHA256: 58948c84e9228a9e22dea24ca4212d773a382434699c4992ceeef649a11c894b SHA1: 2836bdf7bfba16409068eacc423ac1d676be50fd MD5sum: 5cfba2e2be4dbc12cbaecf65ea9b4ea8 Description: graphical experiment builder for the social sciences This graphical environment provides an easy to use, point-and-click interface for creating psychological experiments. In addition to a powerful sketchpad for creating visual stimuli, OpenSesame features a sampler and synthesizer for sound playback. For more complex tasks, OpenSesame supports Python scripting using the built-in editor with syntax highlighting. Python-Version: 2.6 Package: openwalnut-modules Source: openwalnut Version: 1.2.5-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13184 Depends: neurodebian-popularity-contest, libbiosig0, libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-signals1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libboost-thread1.42.0 (>= 1.42.0-1), libc6 (>= 2.3.2), libgcc1 (>= 1:4.1.1), libnifti2, libopenscenegraph65 (>= 2.8.3), libopenthreads13 (>= 2.8.3), libopenwalnut1, libstdc++6 (>= 4.4.0) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-modules_1.2.5-1~nd60+1_i386.deb Size: 4449416 SHA256: 9af2a05fe15d85269801ab6b470cecd1af2d17c34e760721c6ac9323798de770 SHA1: 1960c7996c6eadd7ff295ec0d86e9c7b27645f02 MD5sum: 289de1d0c8f68ceca3fdaffbb67c4f6b Description: Multi-modal medical and brain data visualization tool. OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the currently available modules for OpenWalnut. Package: openwalnut-qt4 Source: openwalnut Version: 1.2.5-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1792 Depends: neurodebian-popularity-contest, libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-program-options1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libboost-thread1.42.0 (>= 1.42.0-1), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libopenscenegraph65 (>= 2.8.3), libopenthreads13 (>= 2.8.3), libopenwalnut1, libqt4-opengl (>= 4:4.6.0), libqt4-webkit (>= 4:4.6.0), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.0), libstdc++6 (>= 4.2.1) Recommends: openwalnut-modules (= 1.2.5-1~nd60+1) Homepage: http://www.openwalnut.org Priority: extra Section: science Filename: pool/main/o/openwalnut/openwalnut-qt4_1.2.5-1~nd60+1_i386.deb Size: 616782 SHA256: 3f5aee32dbacd5d838489dd76dc920ebdb44c097ac030859e96964f78730e528 SHA1: 6404d4c29cdc8b3fa96a795388ddb6f70ae0d601 MD5sum: 36ab213821f85a51fcdab51fc17b229d Description: Multi-modal medical and brain data visualization tool. OpenWalnut is a tool for multi-modal medical and brain data visualization. Its universality allows it to be easily extended and used in a large variety of application cases. It is both, a tool for the scientific user and a powerful framework for the visualization researcher. Besides others, it is able to load NIfTI data, VTK line data and RIFF-format CNT/AVR-files. OpenWalnut provides many standard visualization tools like line integral convolution (LIC), isosurface-extraction, glyph-rendering or interactive fiber-data exploration. The powerful framework of OpenWalnut allows researchers and power-users to easily extend the functionality to their specific needs. . This package contains the QT4 GUI for OpenWalnut. Package: packaging-tutorial Version: 0.5~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1155 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/p/packaging-tutorial/packaging-tutorial_0.5~nd+1_all.deb Size: 1111034 SHA256: 3410f99232ee6a8cff11c2d97b4cd50f56d4ae5d71f5dadaa077d92457842996 SHA1: 8756d44b1a608c8c0e29fde5813d6146e67c5026 MD5sum: 7d653f7b7bc96d627e73720627567851 Description: introduction to Debian packaging This tutorial is an introduction to Debian packaging. It teaches prospective developers how to modify existing packages, how to create their own packages, and how to interact with the Debian community. In addition to the main tutorial, it includes three practical sessions on modifying the 'grep' package, and packaging the 'gnujump' game and a Java library. Package: psychopy Version: 1.73.05.dfsg-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5264 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-pyglet | python-pygame, python-opengl, python-numpy, python-scipy, python-matplotlib, python-lxml, python-configobj Recommends: python-wxgtk2.8, python-pyglet, python-pygame, python-openpyxl, python-imaging, python-serial, libavbin0, ipython Suggests: python-iolabs, python-pyxid Homepage: http://www.psychopy.org Priority: optional Section: science Filename: pool/main/p/psychopy/psychopy_1.73.05.dfsg-1~nd60+1_all.deb Size: 2686046 SHA256: e7cfdd260f00c953e69bcff47c23638c7ac4156167f1c545e18f13274fe7db2b SHA1: 49e1639990eac52454e24690c01536503a9b408a MD5sum: bdcff2a248dffc93f2cd6cdee0a01a16 Description: environment for creating psychology stimuli in Python PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. . The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features . - IDE GUI for coding in a powerful scripting language (Python) - Builder GUI for rapid development of stimulation sequences - Use of hardware-accelerated graphics (OpenGL) - Integration with Spectrascan PR650 for easy monitor calibration - Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping - Simple (or complex) GUIs via wxPython - Easy interfaces to joysticks, mice, sound cards etc. via PyGame - Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli Python-Version: 2.5, 2.6 Package: psychtoolbox-3-common Source: psychtoolbox-3 Version: 3.0.9+svn2539.dfsg1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 53584 Depends: neurodebian-popularity-contest Recommends: subversion Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-common_3.0.9+svn2539.dfsg1-1~nd60+1_all.deb Size: 19425564 SHA256: e96fb15d9654cca56f0d6180fcb16ea9cde2e415898f2fce53251f02baed21cf SHA1: b57db4d8ba5d00f4363ba1f95bcd5df3ad1f9e78 MD5sum: 2efab5f88b00f681f1d7c487aa9f2110 Description: toolbox for vision research -- arch/interpreter independent part Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains architecture independent files (such as .m scripts) Package: psychtoolbox-3-dbg Source: psychtoolbox-3 Version: 3.0.9+svn2539.dfsg1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2360 Depends: neurodebian-popularity-contest, octave-psychtoolbox-3 (= 3.0.9+svn2539.dfsg1-1~nd60+1) Homepage: http://psychtoolbox.org Priority: extra Section: debug Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-dbg_3.0.9+svn2539.dfsg1-1~nd60+1_i386.deb Size: 832704 SHA256: 860864e4e31a4dca2ab67966e841ef7bb197931a92b447b123b2908349fe8431 SHA1: 7e6b3e4e2ad1b6e7851ccd62844884707447d967 MD5sum: e30456014ec3dc04efd64d48ce57faf3 Description: toolbox for vision research -- debug symbols for binaries Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . To ease debugging and troubleshooting this package contains debug symbols for Octave bindings and other binaries. Package: psychtoolbox-3-lib Source: psychtoolbox-3 Version: 3.0.9+svn2539.dfsg1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 244 Depends: neurodebian-popularity-contest, libc6 (>= 2.1.3), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libstdc++6 (>= 4.1.1) Recommends: gstreamer0.10-plugins-base, gstreamer0.10-plugins-good Suggests: gstreamer0.10-plugins-bad, gstreamer0.10-plugins-ugly Homepage: http://psychtoolbox.org Priority: extra Section: science Filename: pool/main/p/psychtoolbox-3/psychtoolbox-3-lib_3.0.9+svn2539.dfsg1-1~nd60+1_i386.deb Size: 119834 SHA256: 4e5773ac5ce28a05be28e5704642b89f049cada6b0d0faeb84537a5089fa6c63 SHA1: 125e653f90515263c957172289ddbd2047fc74c7 MD5sum: 843a13a37b32f33ea7b3187843fcda6f Description: toolbox for vision research -- arch-specific parts Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains additional binaries (tools/dynamic libraries) used by both Octave and Matlab frontends. Package: python-biosig Source: biosig4c++ Version: 0.96.3+svn2677-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 208 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), libbiosig0, libc6 (>= 2.1.3), libcholmod1.7.1 (>= 1:3.4.0), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), zlib1g (>= 1:1.1.4) Homepage: http://biosig.sf.net/ Priority: extra Section: python Filename: pool/main/b/biosig4c++/python-biosig_0.96.3+svn2677-3~nd60+1_i386.deb Size: 51692 SHA256: e59b1ee78fa1656ed047703dabc8888affe0ae27e4091a8742bef6ac59bd34c2 SHA1: 43af0f632bd81304860ee7f7cebb72d075146ffb MD5sum: 977c3e07904d6e69bf1ad954679e6c87 Description: Python bindings for BioSig library This package provides Python bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF. Package: python-brian Source: brian Version: 1.3.0-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1692 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-brian-lib (>= 1.3.0-2~nd60+1), python-matplotlib (>= 0.90.1), python-numpy (>= 1.3.0), python-scipy (>= 0.7.0) Recommends: python-sympy Suggests: python-brian-doc, python-nose, python-cherrypy Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian_1.3.0-2~nd60+1_all.deb Size: 314048 SHA256: 827f0572c12c8e2dc30b7df6ca851b9c990d2b820d7740a52033375a908c7b26 SHA1: 278e2c840a9389f89caa142c8e0ef9ed72dc4744 MD5sum: aa070370e087f8b95e590aeaf7aa7e9a Description: simulator for spiking neural networks Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include: - a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings Package: python-brian-doc Source: brian Version: 1.3.0-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 5320 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-brian Homepage: http://www.briansimulator.org/ Priority: extra Section: doc Filename: pool/main/b/brian/python-brian-doc_1.3.0-2~nd60+1_all.deb Size: 1651040 SHA256: 2f3be42514fca02c8294450f861152fde3098e9ad06d6fdd5f21793e9e5deb11 SHA1: 8b699779fb48949a5b413547a23b0b17e29eae19 MD5sum: b327e4084febad0f56b621c98bd4349a Description: simulator for spiking neural networks - documentation Brian is a clock-driven simulator for spiking neural networks. . This package provides user's manual (in HTML format), examples and demos. Package: python-brian-lib Source: brian Version: 1.3.0-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.4.0) Homepage: http://www.briansimulator.org/ Priority: extra Section: python Filename: pool/main/b/brian/python-brian-lib_1.3.0-2~nd60+1_i386.deb Size: 51902 SHA256: 4e7bb4718ea18fdc9bb7d1373fb6d934196e3c4c258cd1d08d8d4082e15de691 SHA1: bf0cd9ff996a227708bff00fa64e4174dd5ee1bf MD5sum: 59df3a80ebbd4266e651fb7c0ec4f8f9 Description: simulator for spiking neural networks -- extensions Brian is a clock-driven simulator for spiking neural networks. . This package provides Python binary extensions. Package: python-cfflib Source: cfflib Version: 2.0.5-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 768 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-lxml, python-numpy, python-networkx (>= 1.4), python-nibabel (>= 1.1.0) Recommends: python-nose, python-sphinx, python-tables, python-h5py Provides: python2.6-cfflib Homepage: http://cmtk.org/cfflib Priority: extra Section: python Filename: pool/main/c/cfflib/python-cfflib_2.0.5-1~nd60+1_all.deb Size: 217692 SHA256: 89c8c15b49c321ab86c69d97c6eb00eb731b2bd699c40e38dc56f8eae505412c SHA1: 6bf2302a69863a6985783df190603edfb88b7417 MD5sum: 68cfd02459ffb3eca1787a8a7bb959d2 Description: Multi-modal connectome and metadata management and integration The Connectome File Format Library (cfflib) is a Python module for multi-modal neuroimaging connectome data and metadata management and integration. . It enables single subject and multi-subject data integration for a variety of modalities, such as networks, surfaces, volumes, fiber tracks, timeseries, scripts, arbitrary data objects such as homogeneous arrays or CSV/JSON files. It relies on existing Python modules and the standard library for basic data I/O, and adds a layer of metadata annotation as tags or with structured properties to individual data objects. Package: python-dicom Source: pydicom Version: 0.9.6-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1896 Depends: neurodebian-popularity-contest, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7) Recommends: python-numpy, python-imaging Suggests: python-matplotlib Homepage: http://code.google.com/p/pydicom/ Priority: optional Section: python Filename: pool/main/p/pydicom/python-dicom_0.9.6-1~nd60+1_all.deb Size: 390312 SHA256: 919a87d2f220b16a48c2c41da4e673550ff1fe4867927495d22514593cfdb8d7 SHA1: a2611209ad87d0b8b560abb8fde0a3a0ad3551e1 MD5sum: 9088b841e73b0cbc29af4edbb06511bb Description: DICOM medical file reading and writing pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects. . pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files. Package: python-dipy Source: dipy Version: 0.5.0-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2068 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-scipy, python-dipy-lib (>= 0.5.0-2~nd60+1) Recommends: python-matplotlib, python-vtk, python-nose, python-nibabel, python-tables Suggests: ipython Provides: python2.5-dipy, python2.6-dipy Homepage: http://nipy.org/dipy Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy_0.5.0-2~nd60+1_all.deb Size: 1457522 SHA256: 46325edad837ac6a4a9c49e857d85e8ea3f97c5287295c64091e041657603b0b SHA1: 9ab04398085bd6386ecfc29605de87b0374e87cf MD5sum: 59a1fcdd7103a9abd9a4e14d0e4bafa3 Description: toolbox for analysis of MR diffusion imaging data Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. It features: - Reconstruction algorithms, e.g. GQI, DTI - Tractography generation algorithms, e.g. EuDX - Intelligent downsampling of tracks - Ultra fast tractography clustering - Resampling datasets with anisotropic voxels to isotropic - Visualizing multiple brains simultaneously - Finding track correspondence between different brains - Warping tractographies into another space, e.g. MNI space - Reading many different file formats, e.g. Trackvis or NIfTI - Dealing with huge tractographies without memory restrictions - Playing with datasets interactively without storing Python-Version: 2.5, 2.6 Package: python-dipy-doc Source: dipy Version: 0.5.0-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3224 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-dipy Homepage: http://nipy.org/dipy Priority: extra Section: doc Filename: pool/main/d/dipy/python-dipy-doc_0.5.0-2~nd60+1_all.deb Size: 1943674 SHA256: 7354aa71350ecee3334dbbc688bf7dde6f6cab57d3cdca5a8effc3b8c3922a3a SHA1: 5bf007b3a1694b96a555d25a70160a708fa1aa16 MD5sum: 804d946e5d628819438b23760007c57e Description: toolbox for analysis of MR diffusion imaging data -- documentation Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides the documentation in HTML format. Package: python-dipy-lib Source: dipy Version: 0.5.0-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1068 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), libc6 (>= 2.3.6-6~) Provides: python2.5-dipy-lib, python2.6-dipy-lib Homepage: http://nipy.org/dipy Priority: extra Section: python Filename: pool/main/d/dipy/python-dipy-lib_0.5.0-2~nd60+1_i386.deb Size: 367942 SHA256: 0ca3ac60b5f16cb1f142d10687dd4070ae844a5d60b584915871ea6542be1c24 SHA1: 3e47f4e42f9139b2613e2cbfcf5f45089bbad568 MD5sum: 00adafebac64a1b30f27fc27ef11e7af Description: toolbox for analysis of MR diffusion imaging data -- extensions Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. . This package provides architecture-dependent builds of the extensions. Python-Version: 2.5, 2.6 Package: python-freenect Source: libfreenect Version: 1:0.1.2+dfsg-5~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.6), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0), libc6 (>= 2.1.3), libfreenect0.1 (= 1:0.1.2+dfsg-5~nd60+1) Suggests: python-matplotlib, python-opencv Homepage: http://openkinect.org/ Priority: extra Section: python Filename: pool/main/libf/libfreenect/python-freenect_0.1.2+dfsg-5~nd60+1_i386.deb Size: 37480 SHA256: 02635afccf7cdec13bc4c5fe54487b3279f2ee3be29808d149e95bb3de1fb315 SHA1: 7dbdf7c95e0bff6bf957036de5ef75266883b018 MD5sum: 7725039bff09416c1fcd55d48dfd4eb1 Description: library for accessing Kinect device -- Python bindings libfreenect is a cross-platform library that provides the necessary interfaces to activate, initialize, and communicate data with the Kinect hardware. Currently, the library supports access to RGB and depth video streams, motors, accelerometer and LED and provide binding in different languages (C++, Python...) . This library is the low level component of the OpenKinect project which is an open community of people interested in making use of the Xbox Kinect hardware with PCs and other devices. . This package provides freenect extension to use libfreenect functionality from Python and includes some demo scripts. Package: python-isis Source: isis Version: 0.4.7-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3712 Depends: neurodebian-popularity-contest, libboost-date-time1.42.0 (>= 1.42.0-1), libboost-filesystem1.42.0 (>= 1.42.0-1), libboost-python1.42.0 (>= 1.42.0-1), libboost-regex1.42.0 (>= 1.42.0-1), libboost-system1.42.0 (>= 1.42.0-1), libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libisis-core0, liboil0.3 (>= 0.3.1), libpython2.6 (>= 2.6), libstdc++6 (>= 4.4.0), python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0) Conflicts: isis-python Replaces: isis-python Homepage: https://github.com/isis-group Priority: extra Section: python Filename: pool/main/i/isis/python-isis_0.4.7-1~nd60+1_i386.deb Size: 1002404 SHA256: 87cc2e7dd7dce9608ed46e2488618513ae7b060fa755517f7fa872a3e111c1c2 SHA1: 68b71996b74f0b03b577c98ac2cf2cd27eb338c2 MD5sum: fb7f5661e388088cf9304419b1356457 Description: Python bindings for ISIS data I/O framework (development headers) This framework aids access of and conversion between various established neuro-imaging data formats, like Nifti, Analyze, DICOM and VISTA. ISIS is extensible with plugins to add support for additional data formats. Package: python-joblib Source: joblib Version: 0.6.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 252 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-numpy, python-nose, python-simplejson Homepage: http://packages.python.org/joblib/ Priority: optional Section: python Filename: pool/main/j/joblib/python-joblib_0.6.1-1~nd60+1_all.deb Size: 50772 SHA256: ca175d7d3ff3766a2092c0958ba264e8ae8a2dbd111fba0f9790cec15e01fdce SHA1: 1a8ffb6765d558ad12b757c1f78b271281ef183d MD5sum: b7715321856497607d0c676f2a8e9ac5 Description: tools to provide lightweight pipelining in Python Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: - transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) - easy simple parallel computing - logging and tracing of the execution . Joblib is optimized to be fast and robust in particular on large, long-running functions and has specific optimizations for numpy arrays. Package: python-lazyarray Source: lazyarray Version: 0.1.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40 Depends: neurodebian-popularity-contest, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7), python-numpy Homepage: http://bitbucket.org/apdavison/lazyarray/ Priority: optional Section: python Filename: pool/main/l/lazyarray/python-lazyarray_0.1.0-1~nd60+1_all.deb Size: 7430 SHA256: 4add14c7519849f9f98eba7976f7389e162a5cd8d03e6bc778c64a42536fa109 SHA1: 89e6fc5f690f0797b4cee2e135c7ee0a21ea8187 MD5sum: ef8002ce29ca25685369e74069640fc1 Description: Python module providing a NumPy-compatible lazily-evaluated array The 'larray' class is a NumPy-compatible numerical array where operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible. Consequently, use of an 'larray' can potentially save considerable computation time and memory in cases where arrays are used conditionally, or only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array). Package: python-libsvm Source: libsvm Version: 3.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 76 Depends: neurodebian-popularity-contest, libsvm3 (= 3.0-1~nd60+1), python, python-support (>= 0.90.0) Provides: python2.5-libsvm, python2.6-libsvm Homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Priority: optional Section: python Filename: pool/main/libs/libsvm/python-libsvm_3.0-1~nd60+1_i386.deb Size: 14318 SHA256: 8e0e64ea9c203f419c81136ce66c78190120d1eed203ab47f00a9277883cedcb SHA1: e3224c0ae1aa5fb7a0c33067f7eeaca2a44e2581 MD5sum: ff63fa7e2210ad4ca7f08447220d0a8f Description: Python interface for support vector machine library Python interface for the LIBSVM library using ctypes. This new python interface is provided since 2.91, and it is incompatible with the old one. Package: python-mdp Source: mdp Version: 3.2+git78-g7db3c50-3~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1912 Depends: neurodebian-popularity-contest, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7), python-numpy Recommends: python-scipy, python-libsvm, python-joblib, python-scikits-learn | python-sklearn, python-pp Suggests: python-py, shogun-python-modular Enhances: python-mvpa Homepage: http://mdp-toolkit.sourceforge.net/ Priority: optional Section: python Filename: pool/main/m/mdp/python-mdp_3.2+git78-g7db3c50-3~nd60+1_all.deb Size: 482284 SHA256: 47c5ade52011cbb8cedcd5736a2615fc57ed04f8ec512523d9ad2a4fadaf0ea2 SHA1: 596af6dfac1c79feeb58ae4e55d038f378009cd0 MD5sum: 2ccd0ef7a1e456cc32ba1809f7f69565 Description: Modular toolkit for Data Processing Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers. . This package contains MDP for Python 2. Package: python-mlpy Source: mlpy Version: 2.2.0~dfsg1-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 428 Depends: python (>= 2.4), python-support (>= 0.90.0), python2.6, python-numpy, python-mlpy-lib (>= 2.2.0~dfsg1-1~squeeze.nd1) Suggests: python-mvpa Provides: python2.5-mlpy, python2.6-mlpy Homepage: https://mlpy.fbk.eu/ Priority: optional Section: python Filename: pool/main/m/mlpy/python-mlpy_2.2.0~dfsg1-1~squeeze.nd1_all.deb Size: 58266 SHA256: 77f4b8e2129db61e00feaad3c1460a923975820c91e625dc4fff605039f14c7a SHA1: 878fa1b9c71726e276b82d462006a5a90c127ea6 MD5sum: 69d292f9dfb2f666d6a3542ddbe60dd3 Description: high-performance Python package for predictive modeling mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping. . mlpy includes: SVM (Support Vector Machine), KNN (K Nearest Neighbor), FDA, SRDA, PDA, DLDA (Fisher, Spectral Regression, Penalized, Diagonal Linear Discriminant Analysis) for classification and feature weighting, I-RELIEF, DWT and FSSun for feature weighting, *RFE (Recursive Feature Elimination) and RFS (Recursive Forward Selection) for feature ranking, DWT, UWT, CWT (Discrete, Undecimated, Continuous Wavelet Transform), KNN imputing, DTW (Dynamic Time Warping), Hierarchical Clustering, k-medoids, Resampling Methods, Metric Functions, Canberra indicators. Python-Version: 2.5, 2.6 Package: python-mlpy-doc Source: mlpy Version: 2.2.0~dfsg1-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1136 Depends: libjs-jquery Suggests: python-mlpy Homepage: https://mlpy.fbk.eu/ Priority: optional Section: doc Filename: pool/main/m/mlpy/python-mlpy-doc_2.2.0~dfsg1-1~squeeze.nd1_all.deb Size: 480866 SHA256: a1a158d0318129c2b6ac767cf0385b266a45aeaa6a06a45fc5bf61d6a77ff9b5 SHA1: 0de7a2884bfd8de60215558a742d138d0d35f167 MD5sum: 676b76390bb77f41f7a1ee949b11e212 Description: documention and examples for mlpy mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping. . This package provides user documentation for mlpy in various formats (HTML, PDF). Package: python-mlpy-lib Source: mlpy Version: 2.2.0~dfsg1-1~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 448 Depends: libc6 (>= 2.3.6-6~), libgsl0ldbl (>= 1.9), python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python-numpy Provides: python2.5-mlpy-lib, python2.6-mlpy-lib Homepage: https://mlpy.fbk.eu/ Priority: optional Section: python Filename: pool/main/m/mlpy/python-mlpy-lib_2.2.0~dfsg1-1~squeeze.nd1_i386.deb Size: 121286 SHA256: 2e849443ca2e80a1704bf50b280d59b1c050aba414752bfa555eb9b04be6a333 SHA1: e748d227727cc8b0fd91b5afaf9696187ed0d009 MD5sum: 7374f7da64d5a4e499f367af961ad901 Description: low-level implementations and bindings for mlpy This is an add-on package for the mlpy providing compiled core functionality. Python-Version: 2.5, 2.6 Package: python-mpi4py Source: mpi4py Version: 1.2.2-1~pre1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1844 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libopenmpi1.3, python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0) Recommends: openmpi-bin Suggests: python-numpy Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py_1.2.2-1~pre1~nd60+1_i386.deb Size: 534334 SHA256: 2401f0fe597d05ecd8480ae51f69774bc1da9f45d6a3bceaf2d7d101c3abea64 SHA1: ec338a55570cc4e9de5d6ec8dfbf98e4812fa1b7 MD5sum: ce70bc9c02cd0584abf9c77fd0dcc8b6 Description: bindings of the Message Passing Interface (MPI) standard MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). Package: python-mpi4py-dbg Source: mpi4py Version: 1.2.2-1~pre1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2712 Depends: neurodebian-popularity-contest, python-mpi4py (= 1.2.2-1~pre1~nd60+1) Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py-dbg_1.2.2-1~pre1~nd60+1_i386.deb Size: 1011006 SHA256: a8e6589ecca23b4591474278379b350860269bcb9033aed65b02dfb8bba6746b SHA1: 4faec419a80e7df44f7902198218b1d852f2cb3b MD5sum: d56d4554ce96503b68f3185140699201 Description: bindings of the MPI standard -- debug symbols MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides debug symbols. Package: python-mpi4py-doc Source: mpi4py Version: 1.2.2-1~pre1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 272 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mpi4py Homepage: http://code.google.com/p/mpi4py/ Priority: extra Section: python Filename: pool/main/m/mpi4py/python-mpi4py-doc_1.2.2-1~pre1~nd60+1_all.deb Size: 54806 SHA256: 1b60db1309827d5c6ca4de2674c4133a7fe851d1fcc86d6a5d13043ed75c76a8 SHA1: cedce687642d97f89416079719540eedd3c926a1 MD5sum: 8365de41874844b3114055398c97d734 Description: bindings of the MPI standard -- documentation MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. . mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of any picklable Python object as well as optimized communications of Python object exposing the single-segment buffer interface (NumPy arrays, builtin bytes/string/array objects). . This package provides HTML rendering of the user's manual. Package: python-mvpa Source: pymvpa Version: 0.4.7-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4076 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python2.6, python-numpy, python-mvpa-lib (>= 0.4.7-2~nd60+1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy, python-mvpa-doc Provides: python2.5-mvpa, python2.6-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.7-2~nd60+1_all.deb Size: 2196770 SHA256: d1d7a825b792a5c998fba0c24cde296643fa58c292e1dbcfca3989db45c31840 SHA1: 86d776b22218359073100d5cf4190613cd079eeb MD5sum: 5ffad94fbc1fb319daa679f30937c4be Description: multivariate pattern analysis with Python Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, GNB, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. Python-Version: 2.5, 2.6 Package: python-mvpa-doc Source: pymvpa Version: 0.4.7-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41168 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.7-2~nd60+1_all.deb Size: 8741852 SHA256: 60219592f12361f3744118de0ff8ab84483b081d5637d6edcdc050e327f407db SHA1: 8539bcf016eba65b0c35c909567e076f6f959afe MD5sum: 5b7812d48cdc9ce79130b7684ab2658c Description: documentation and examples for PyMVPA PyMVPA documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation * BibTeX references file . Additionally, all example scripts shipped with the PyMVPA sources are included. Package: python-mvpa-lib Source: pymvpa Version: 0.4.7-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 208 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python-numpy Provides: python2.5-mvpa-lib, python2.6-mvpa-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa-lib_0.4.7-2~nd60+1_i386.deb Size: 68964 SHA256: e6cbbc1981a67709a22922105d86bdd1ad42d53d40125ce6fcd5e6d31cf756a4 SHA1: 1273430b041e3c077fa414a54d3af0e3c72c6a15 MD5sum: 1faaeb2cade17740cb37411be2d519d3 Description: low-level implementations and bindings for PyMVPA This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. Python-Version: 2.5, 2.6 Package: python-mvpa2 Source: pymvpa2 Version: 2.0.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4676 Depends: neurodebian-popularity-contest, python (>= 2.4), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0), python-mvpa2-lib (>= 2.0.1-1~nd60+1) Recommends: python-nibabel, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-matplotlib, python-reportlab, python-h5py, python-psutil Suggests: fslview, fsl, python-nose, python-lxml, python-openopt, python-rpy2, python-mvpa2-doc, python-sklearn Provides: python2.5-mvpa2, python2.6-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2_2.0.1-1~nd60+1_all.deb Size: 2334040 SHA256: 8307b5a2748a5f9ea2671dbd2c65d33b72b5d90c034b9415cc73a52a381b5407 SHA1: 22cc52e51c09d80a9eb1bae525b22f08f9f79773 MD5sum: 17a4e8333df6415af3395b546b7daca3 Description: multivariate pattern analysis with Python v. 2 PyMVPA eases pattern classification analyses of large datasets, with an accent on neuroimaging. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. . This is a package of PyMVPA v.2. Previously released stable version is provided by the python-mvpa package. Python-Version: 2.5, 2.6 Package: python-mvpa2-doc Source: pymvpa2 Version: 2.0.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 24632 Depends: neurodebian-popularity-contest, libjs-jquery, libjs-underscore Suggests: python-mvpa2 Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa2/python-mvpa2-doc_2.0.1-1~nd60+1_all.deb Size: 4689068 SHA256: 356fa207fc6cb9b3a602edcd241753d67aff676b57f4219a3f360d0ff45cb412 SHA1: 852f7e6a1b75c81a5f74c1b6234f9820e18ebfde MD5sum: c3adf7e655cca016614340e34f61c949 Description: documentation and examples for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a HTML documentation (tutorial, FAQ etc.) as well as example scripts. Package: python-mvpa2-lib Source: pymvpa2 Version: 2.0.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 196 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), libsvm3, python (<< 2.7), python (>= 2.5), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0) Provides: python2.5-mvpa2-lib, python2.6-mvpa2-lib Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa2/python-mvpa2-lib_2.0.1-1~nd60+1_i386.deb Size: 71296 SHA256: 222fc3d6ffbe1afbdfec9f1f1da9f100a8305096a0f40fd4f402fdf93e72e9bd SHA1: 9588fd2e3974e8a1f2a2a49f15bc5348b9f48828 MD5sum: c2893bc127b7aeebfb7c8c5fdefc1b57 Description: low-level implementations and bindings for PyMVPA v. 2 This is an add-on package for the PyMVPA framework. It provides a low-level implementation of an SMLR classifier and custom Python bindings for the LIBSVM library. . This is a package of a development snapshot. The latest released version is provided by the python-mvpa-lib package. Python-Version: 2.5, 2.6 Package: python-networkx Version: 1.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2672 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0) Recommends: python-numpy, python-scipy, python-pygraphviz | python-pydot, python-pkg-resources, python-matplotlib, python-yaml Homepage: http://networkx.lanl.gov/ Priority: optional Section: python Filename: pool/main/p/python-networkx/python-networkx_1.4-2~nd60+1_all.deb Size: 647278 SHA256: ad2839debf74b059def0e377f52e5b3fad23613603d2f69c61a6a7f59bfbd6b7 SHA1: ac9dd5bce62e8f0e1460bf9cff1b4655278cb7fb MD5sum: 88fcc837ad2b6e0c5bcf56df2802b09d Description: tool to create, manipulate and study complex networks NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. Package: python-networkx-doc Source: python-networkx Version: 1.4-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 15788 Depends: neurodebian-popularity-contest Homepage: http://networkx.lanl.gov/ Priority: optional Section: doc Filename: pool/main/p/python-networkx/python-networkx-doc_1.4-2~nd60+1_all.deb Size: 6169452 SHA256: c55591f29b87d1772fdf11a511fee43512b88d27dbdb99b0083c2d131b8ffdd6 SHA1: 15e7a5d65dfdb7ebc585a56a55441a4240644b2b MD5sum: feabea6baf7cf83997120652132961f9 Description: tool to create, manipulate and study complex networks - documentation NetworkX is a Python-based package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. . The structure of a graph or network is encoded in the edges (connections, links, ties, arcs, bonds) between nodes (vertices, sites, actors). If unqualified, by graph it's meant a simple undirected graph, i.e. no self-loops and no multiple edges are allowed. By a network it's usually meant a graph with weights (fields, properties) on nodes and/or edges. . The potential audience for NetworkX includes: mathematicians, physicists, biologists, computer scientists, social scientists. . This package contains documentation for NetworkX. Package: python-neuroshare Version: 0.8.5-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), python (<< 2.7), python (>= 2.5), python-numpy (>= 1:1.4.1), python-numpy (<< 1:1.5), python-support (>= 0.90.0) Homepage: http://www.g-node.org/neuroshare-tools Priority: extra Section: python Filename: pool/main/p/python-neuroshare/python-neuroshare_0.8.5-1~nd60+1_i386.deb Size: 22120 SHA256: 6b4ddddf5f8dae719850d88eade3b7d62eea2bfcfe1becd7b1b3259d22b7f4fd SHA1: 2d4142536b1755e46814f40532454db0bc9339c8 MD5sum: ec9cd67dc2a2ea16bcdbeef57756aa94 Description: Python interface and tools for Neuroshare The Neuroshare API is a standardized interface to access electrophysiology data stored in various different file formats. To do so, it uses format- specific shared libraries. . This package provides a high-level Python interface to the Neuroshare API that focuses on convenience for the user and enables access to all available metadata and data. The data is returned in NumPy arrays, which provides a quick route to further examination and analysis. . In addition, this package contains the ns2hdf converter tool that converts neuroshare-compatible files into the HDF5 (Hierarchical Data Format, ver. 5) file format. Python-Version: 2.5, 2.6 Package: python-nibabel Source: nibabel Version: 1.1.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3612 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-scipy Recommends: python-dicom Suggests: python-nibabel-doc Provides: python2.5-nibabel, python2.6-nibabel Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: python Filename: pool/main/n/nibabel/python-nibabel_1.1.0-1~nd60+1_all.deb Size: 1674964 SHA256: 06e5c8a04b7b277eeeb82cd86feec4e71ca6feefa29143b229c87f472ee66a12 SHA1: 290f626510aa00ffbf97c7b7aac5e1c6a43c64cb MD5sum: 30f37cd229fc8d61549b825affe66274 Description: Python bindings to various neuroimaging data formats NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package also provides a commandline tool for conversion of PAR/REC to NIfTI images. Python-Version: 2.5, 2.6 Package: python-nibabel-doc Source: nibabel Version: 1.1.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2756 Depends: neurodebian-popularity-contest, libjs-jquery Homepage: http://nipy.sourceforge.net/nibabel Priority: extra Section: doc Filename: pool/main/n/nibabel/python-nibabel-doc_1.1.0-1~nd60+1_all.deb Size: 411792 SHA256: e901d9bf87106049902f3fa8f081a554f480d54d76cd718a6adac3bab11fda60 SHA1: 9955f00929b27036eb3c14f96b037b97abc48bf3 MD5sum: 68aefe26d8adc89821c69dc3792bb487 Description: documentation for NiBabel NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI. . This package provides the documentation in HTML format. Package: python-nibabel-snapshot Source: nibabel-snapshot Version: 1.0.0.dev+137+gf1c6-1~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 964 Depends: python (>= 2.5), python-support (>= 0.90.0), python-numpy, libjs-jquery, python-scipy Conflicts: python-nibabel Provides: python2.5-nibabel-snapshot, python2.6-nibabel-snapshot Homepage: http://nipy.sourceforge.net/nibabel Priority: optional Section: python Filename: pool/main/n/nibabel-snapshot/python-nibabel-snapshot_1.0.0.dev+137+gf1c6-1~squeeze.nd1_all.deb Size: 469788 SHA256: 88f8f2603bab6606985a137433460486b70e5765b08eba1ca81b8dccd3cfe96f SHA1: 12bd934e7cec2d24b9aec58fd66b592b9b4be485 MD5sum: feea254498444cc7f9827456091e83dc Description: Python bindings to various neuroimaging data formats Currently supported formats are: . * ANALYZE (including SPM2 and SPM99 variants) * MINC * NIfTI * PAR/REC . This package also provides a commandline tool for conversion of PAR/REC to NIfTI images. Python-Version: 2.5, 2.6 Package: python-nifti Source: pynifti Version: 0.20100607.1-4~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1356 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libnifti2, python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python2.6, python-numpy, libjs-jquery Provides: python2.5-nifti, python2.6-nifti Homepage: http://niftilib.sourceforge.net/pynifti/ Priority: optional Section: python Filename: pool/main/p/pynifti/python-nifti_0.20100607.1-4~nd60+1_i386.deb Size: 350268 SHA256: 6ea8eca5f252e0af09025f34f9ad58fea71fb754d3f209fc63ded99bae9eaa99 SHA1: 71ccde4501d1e6dbfbd815b724d2f5b1b2873403 MD5sum: b424cd468d1fedc7c4aa826c330510af Description: Python interface to the NIfTI I/O libraries Using PyNIfTI one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides Python-style access to the full header information. Image data is made available via NumPy arrays. Python-Version: 2.5, 2.6 Package: python-nipy Source: nipy Version: 0.1.999-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 3684 Depends: neurodebian-popularity-contest, python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), python-scipy, python-nibabel, python-nipy-lib (>= 0.1.999-2~nd60+1) Recommends: python-matplotlib, mayavi2, python-sympy Suggests: python-mvpa Provides: python2.5-nipy, python2.6-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy_0.1.999-2~nd60+1_all.deb Size: 743336 SHA256: c2ae9c07202b246648120f97e724e1a30e20d71910d58f4cee8056b8ab6de73b SHA1: 713d47ff1e388928da53579bc2d12f5534ab780f MD5sum: 38bc523acd79d8ccac1aa426585e9f6f Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for - General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies Python-Version: 2.5, 2.6 Package: python-nipy-doc Source: nipy Version: 0.1.999-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10280 Depends: neurodebian-popularity-contest, libjs-jquery Recommends: python-nipy Homepage: http://neuroimaging.scipy.org Priority: extra Section: doc Filename: pool/main/n/nipy/python-nipy-doc_0.1.999-2~nd60+1_all.deb Size: 2676648 SHA256: 6ac40d8821aab48b71732712403c1530254db7983863b771b0eb80fb20876f3d SHA1: d4a7cd5665663fe6152164a6c531d6cce6c1deaa MD5sum: e8bcc9a7203852b5c8bc40b7010d4d7c Description: documentation and examples for NiPy This package contains NiPy documentation in various formats (HTML, TXT) including * User manual * Developer guidelines * API documentation Package: python-nipy-lib Source: nipy Version: 0.1.999-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4124 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.3.6-6~), python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0) Provides: python2.5-nipy-lib, python2.6-nipy-lib Homepage: http://neuroimaging.scipy.org Priority: extra Section: python Filename: pool/main/n/nipy/python-nipy-lib_0.1.999-2~nd60+1_i386.deb Size: 1318728 SHA256: cb1d11311bc9a1560a078c64c10209a9cebb7403733d2f7aa3ba82ef8254b65c SHA1: 3e318d0934a68f6750bf1e32b54f95d87c4238ab MD5sum: 70f4bba0ce22c86a115629fcfd2aad21 Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides architecture-dependent builds of the libraries. Python-Version: 2.5, 2.6 Package: python-nipy-lib-dbg Source: nipy Version: 0.1.999-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4468 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.3.6-6~), python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), python-nipy-lib (= 0.1.999-2~nd60+1) Provides: python2.5-nipy-lib-dbg, python2.6-nipy-lib-dbg Homepage: http://neuroimaging.scipy.org Priority: extra Section: debug Filename: pool/main/n/nipy/python-nipy-lib-dbg_0.1.999-2~nd60+1_i386.deb Size: 1449818 SHA256: a59a200bd9cb6982cedc5bb6acbcec2cb465b87a7376744f0eaa9909cb7e11b8 SHA1: 9913f38a0b38e1c7bba6b77bfcf7c1039e6b1331 MD5sum: 06dbc5e7ea47b91c99cff2ffc789a4ef Description: Analysis of structural and functional neuroimaging data NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. . This package provides debugging symbols for architecture-dependent builds of the libraries. Python-Version: 2.5, 2.6 Package: python-nipype Source: nipype Version: 0.5.3-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2924 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-scipy, python-simplejson, python-traits (>= 4.0) | python-traits4, python-nibabel (>= 1.0.0~), python-networkx (>= 1.3), python-cfflib Recommends: ipython, python-nose, graphviz Suggests: fsl, afni, python-nipy, slicer, matlab-spm8, python-pyxnat Provides: python2.6-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: python Filename: pool/main/n/nipype/python-nipype_0.5.3-1~nd60+1_all.deb Size: 501176 SHA256: f9dd8024151e3cc4889540d712862a4c93002ac22c53f9ba4f6cb8c55758dad3 SHA1: 57529a2fd47ee93508e47eda351f36d61c5779fa MD5sum: 412eea7578726647baf1a4df7e499aa2 Description: Neuroimaging data analysis pipelines in Python Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). Package: python-nipype-doc Source: nipype Version: 0.5.3-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13832 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-nipype Homepage: http://nipy.sourceforge.net/nipype/ Priority: optional Section: doc Filename: pool/main/n/nipype/python-nipype-doc_0.5.3-1~nd60+1_all.deb Size: 6323196 SHA256: 50e90d5892a8d3eeab5363c9d97298a6ea4d52a882379e5b1a9a415c454f4959 SHA1: f27c270c01366ec14b7149794edca4804cd7ce1c MD5sum: 03155f0083ac4ee0009b663bb3d5d70d Description: Neuroimaging data analysis pipelines in Python -- documentation Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia). . This package contains Nipype examples and documentation in various formats. Package: python-nitime Source: nitime Version: 0.3.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9404 Depends: neurodebian-popularity-contest, python-numpy, python-scipy Recommends: python-matplotlib, python-nose, python-nibabel, python-networkx Homepage: http://nipy.org/nitime Priority: extra Section: python Filename: pool/main/n/nitime/python-nitime_0.3.1-1~nd60+1_all.deb Size: 3902360 SHA256: cd914d865016b42129e59cdb6f99297bb9604fe9b498fba345a431a25f434825 SHA1: 306e359a84f7c65aef4526973a25bec42d93359e MD5sum: ee0f6180d968002a8747b38906ba7457 Description: timeseries analysis for neuroscience data (nitime) Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code. Package: python-nitime-doc Source: nitime Version: 0.3.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6944 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-nitime Homepage: http://nipy.org/nitime Priority: extra Section: doc Filename: pool/main/n/nitime/python-nitime-doc_0.3.1-1~nd60+1_all.deb Size: 5196638 SHA256: 7cf716dc54b6f6783ac356d4f12d3dc7544a504bf3d53a4477d3f6ab4b60fc1d SHA1: c40e868d4f89f4e75668afffaab1ec560d5448bb MD5sum: a1fd0096c86853b78bdd1b664d4be6ac Description: timeseries analysis for neuroscience data (nitime) -- documentation Nitime is a Python module for time-series analysis of data from neuroscience experiments. . This package provides the documentation in HTML format. Package: python-numexpr Source: numexpr Version: 1.4.2-1.2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1012 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0), libc6 (>= 2.3.6-6~) Homepage: http://code.google.com/p/numexpr/ Priority: optional Section: python Filename: pool/main/n/numexpr/python-numexpr_1.4.2-1.2~nd60+1_i386.deb Size: 288962 SHA256: 698c8d80836485d53b59d7b846ff0ec409418e25e26b7c8935d3e55c64171ed1 SHA1: 15eec206d3876a0c4680d4ff4d6bfecf89c234a7 MD5sum: 642737d72c346107005dd2e0b38e850d Description: Numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next best thing to writing the expression in C and compiling it with a specialized just-in-time (JIT) compiler, i.e. it does not require a compiler at runtime. Package: python-openmeeg Source: openmeeg Version: 2.0.0.dfsg-3~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 512 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libpython2.6 (>= 2.6), libstdc++6 (>= 4.4.0), python (<< 2.7), python (>= 2.6), python-support (>= 0.90.0), python-numpy Provides: python2.6-openmeeg Homepage: http://www-sop.inria.fr/odyssee/software/OpenMEEG/ Priority: extra Section: python Filename: pool/main/o/openmeeg/python-openmeeg_2.0.0.dfsg-3~nd60+1_i386.deb Size: 154976 SHA256: 855071e0940cba63ef4a446f6ea5349140db276b5047ba435f9c522249193557 SHA1: eb4b5007d7821af09369110522c9eba4af10f1f3 MD5sum: 88a1a575f3a830c0b03e784e0fbf8fc0 Description: Python bindings for openmeeg library OpenMEEG provides state-of-the art tools for processing EEG and MEG data. . The forward problem is implemented using the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. The source localization procedures implemented in OpenMEEG are based on a distributed source model, with three different types of regularization: the Minimum Norm, and the L2 and L1 norms of the surface gradient of the sources [Adde et al, 2005]. . This package provides Python bindings for OpenMEEG library. Python-Version: 2.6 Package: python-openopt Source: openopt Version: 0.34+svn1146-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1448 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy Recommends: python-scipy, python-cvxopt, python-matplotlib Suggests: lp-solve Conflicts: python-scikits-openopt Replaces: python-scikits-openopt Provides: python2.5-openopt, python2.6-openopt Homepage: http://www.openopt.org Priority: extra Section: python Filename: pool/main/o/openopt/python-openopt_0.34+svn1146-1~nd60+1_all.deb Size: 206376 SHA256: d1b3b6379d8d46c62e5e9e5d047952c1f3ffe49ea2b8104d0b266ec8bacb737d SHA1: 544a48be67be1c7f787e3cd97aa71756436b544e MD5sum: cb479f230839071416b792363f23e650 Description: Python module for numerical optimization Numerical optimization framework developed in Python which provides connections to lots of solvers with easy and unified OpenOpt syntax. Problems which can be tackled with OpenOpt * Linear Problem (LP) * Mixed-Integer Linear Problem (MILP) * Quadratic Problem (QP) * Non-Linear Problem (NLP) * Non-Smooth Problem (NSP) * Non-Linear Solve Problem (NLSP) * Least Squares Problem (LSP) * Linear Least Squares Problem (LLSP) * Mini-Max Problem (MMP) * Global Problem (GLP) . A variety of solvers is available (e.g. IPOPT, ALGENCAN). Python-Version: 2.5, 2.6 Package: python-openpyxl Source: openpyxl Version: 1.5.8-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 504 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0) Recommends: python-nose Homepage: http://bitbucket.org/ericgazoni/openpyxl/ Priority: optional Section: python Filename: pool/main/o/openpyxl/python-openpyxl_1.5.8-1~nd60+1_all.deb Size: 71602 SHA256: 481915a2f54033c9feedf8042c462fa0379fb75eff7c2bcce8ba75ab42ab4ab7 SHA1: dc14aca2cb5665cdc1f92509700c44a90c2633b4 MD5sum: 6f387b7bd0ca97384191248ff08dc707 Description: module to read/write OpenXML xlsx/xlsm files Openpyxl is a pure Python module to read/write Excel 2007 (OpenXML) xlsx/xlsm files. Package: python-pandas Source: pandas Version: 0.7.3-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2220 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-dateutil, python-pandas-lib (>= 0.7.3-1~nd60+1) Recommends: python-scipy, python-matplotlib, python-tables, python-tz, python-xlrd, python-scikits.statsmodels, python-openpyxl, python-xlwt Suggests: python-pandas-doc Provides: python2.5-pandas, python2.6-pandas Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas_0.7.3-1~nd60+1_all.deb Size: 460866 SHA256: ee9fa4862c1988c184069c02ff59b90d4c4751c1cd0d9185eed4030842cc7072 SHA1: a49274e19f474958baf2e0fe8e39438f169fb6f1 MD5sum: 307fb7d696545ea68a70c3ef2f5836c6 Description: data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure Package: python-pandas-lib Source: pandas Version: 0.7.3-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 3340 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), python (<< 2.7), python (>= 2.5), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0) Provides: python2.5-pandas-lib, python2.6-pandas-lib Homepage: http://pandas.sourceforge.net Priority: optional Section: python Filename: pool/main/p/pandas/python-pandas-lib_0.7.3-1~nd60+1_i386.deb Size: 1151662 SHA256: 5eab62280f296be0327922c7fdc6c323aae021c2c5da8f248a34d1554ad0491b SHA1: c2a694e6663a42de7b871824535fcf92df359999 MD5sum: e0d5b84cece31d2fa1e6f75a187d2dd6 Description: low-level implementations and bindings for pandas This is an add-on package for python-pandas providing architecture-dependent extensions. Python-Version: 2.5, 2.6 Package: python-pyepl Source: pyepl Version: 1.1.0-3~squeeze.nd1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 2164 Depends: python (<< 2.7), python (>= 2.5), python-central (>= 0.6.11), python-pyepl-common (= 1.1.0-3~squeeze.nd1), python-numpy, python-imaging, python-pygame, python-pyode, python-opengl, ttf-dejavu, libasound2 (>> 1.0.18), libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libode1, libsamplerate0, libsndfile1 (>= 1.0.20), libstdc++6 (>= 4.4.0) Conflicts: python2.3-pyepl, python2.4-pyepl Replaces: python2.3-pyepl, python2.4-pyepl Provides: python2.5-pyepl, python2.6-pyepl Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl_1.1.0-3~squeeze.nd1_i386.deb Size: 536326 SHA256: 78e856106e6abb8c0324b82bc5579ae79d64e8a696b260d7faa2a97362f50119 SHA1: fd989302b24fc3e0eb16e99bbe1c022fd3a90344 MD5sum: 6934b01474a73e988c149a4baa988e43 Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides PyEPL for supported versions of Python. Python-Version: 2.5, 2.6 Package: python-pyepl-common Source: pyepl Version: 1.1.0-3~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 852 Depends: python Homepage: http://pyepl.sourceforge.net/ Priority: optional Section: python Filename: pool/main/p/pyepl/python-pyepl-common_1.1.0-3~squeeze.nd1_all.deb Size: 817820 SHA256: 575a264fe983d8b7d0ad9eaac6baae7c46308bfea1a454dd466636f7cd9b60da SHA1: 219e559bf4ac39efbc3f0e375cf3ea8849d1d224 MD5sum: b3492c37881b41822afe7760f1b3cc5a Description: module for coding psychology experiments in Python PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments. . It provides - presentation: both visual and auditory stimuli - responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped - sync-pulsing: synchronizing your behavioral task with external acquisition hardware - flexibility of encoding various experiments due to the use of Python as a description language - fast execution of critical points due to the calls to linked compiled libraries . This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime) . This package provides common files such as images. Package: python-pyglet Source: pyglet Version: 1.1.4.dfsg-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4356 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-ctypes | python (>= 2.5), libgtk2.0-0, libgl1 | libgl1-mesa-swx11, libglu1 | libglu1-mesa Recommends: libasound2 | libopenal1 Provides: python2.5-pyglet, python2.6-pyglet Homepage: http://www.pyglet.org Priority: optional Section: python Filename: pool/main/p/pyglet/python-pyglet_1.1.4.dfsg-1~nd60+1_all.deb Size: 972196 SHA256: 91b6b5b43bba43c419bc93e875ebba6ac09733899d7d34e944a5df43c3a33a6c SHA1: d9cb126e2761a5bd4b56f73542eac4dadea3f185 MD5sum: e3b5a0fd56d17deacf83460ebcea6737 Description: cross-platform windowing and multimedia library This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. . pyglet might be seen as an alternative to PyGame. Package: python-pynn Source: pynn Version: 0.7.2-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 984 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Recommends: python-jinja2, python-cheetah Suggests: python-neuron, python-brian, python-csa Homepage: http://neuralensemble.org/trac/PyNN Priority: extra Section: python Filename: pool/main/p/pynn/python-pynn_0.7.2-1~nd60+1_all.deb Size: 183120 SHA256: 0fc0788d76c60ad36879dbec3f6fe324426e9304a85fff48d2fd921cf2720da7 SHA1: 9a7c97579eb34b88c5d4e6ea5b3c9482e7a862dc MD5sum: 1b0f1eeae562cbde0e1957f7f34a8718 Description: simulator-independent specification of neuronal network models PyNN allows for coding a model once and run it without modification on any simulator that PyNN supports (currently NEURON, NEST, PCSIM and Brian). PyNN translates standard cell-model names and parameter names into simulator-specific names. Package: python-pyoptical Source: pyoptical Version: 0.2-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 72 Depends: python-serial Enhances: psychopy, python-pyepl Homepage: http://github.com/esc/pyoptical Priority: extra Section: python Filename: pool/main/p/pyoptical/python-pyoptical_0.2-1~squeeze.nd1_all.deb Size: 6956 SHA256: 66717fa53f6d283a3a697f969f32bc1c15f1467bbc26bb09ffceba7beb871644 SHA1: 3201dafeb370ade84db53fbe0ce85c1a0e57455c MD5sum: cf68976930753cdd2fde4b74529ba1b6 Description: python interface to the CRS 'OptiCAL' photometer The 'OptiCAL' is a photometer that is produced by Cambridge Research Systems (CRS). This device is a standard tool for gamma-calibration of display devices in vision research. This package provides a free-software replacement for the Windows-software distributed by the manufacturer that allows querying an OptiCAL via a serial connection. pyoptical can be used as a library for third-party applications or as a standalone command line tool. Python-Version: 2.5, 2.6 Package: python-pypsignifit Source: psignifit Version: 3.0~beta.20111109.1-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2188 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy Homepage: http://psignifit.sourceforge.net Priority: extra Section: python Filename: pool/main/p/psignifit/python-pypsignifit_3.0~beta.20111109.1-1~nd60+1_i386.deb Size: 603772 SHA256: 95fbdd462aa1c6b3e38d96fc0544c485ed87de0e31d70485c2789ab95dc66296 SHA1: 77eb4177f90e345b575707f83d7f4ea6c79be637 MD5sum: e9c24bacb1c20c85cdb3a9fe000a416b Description: psychometric analysis of psychophysics data in Python Psignifit allows fitting of psychometric functions to datasets while maintaining full control over a large number of parameters. Psignifit performs the calculation of confidence intervals as well as goodness-of-fit tests. In addition it offers: . * full Bayesian treatment of psychometric functions including Bayesian model selection and goodness of fit assessment * identification of influential observations and outlier detection * flexible shape definition of the psychometric function . This package provides the Python bindings. Package: python-pyssdh Source: openelectrophy Version: 0.0.svn143-1~squeeze.nd1 Architecture: all Maintainer: Experimental Psychology Maintainers Installed-Size: 792 Depends: python-support (>= 0.90.0), python-numpy, python-scipy, python-qt4, python-mysqldb, python-matplotlib Recommends: g++ | c++-compiler, python-mdp Suggests: mysql-server Provides: python2.4-pyssdh, python2.5-pyssdh Homepage: http://neuralensemble.org/trac/OpenElectrophy Priority: extra Section: python Filename: pool/main/o/openelectrophy/python-pyssdh_0.0.svn143-1~squeeze.nd1_all.deb Size: 119516 SHA256: 1adaffa1132d6581ae599f8781f656a482fb586ecdaa789ab235068043a7f85f SHA1: bd3b2114258a93dbd1108eaea341f8541ff74a47 MD5sum: 1f942f44319f70c9cc3afcaac2e70796 Description: data analysis framework for intra- and extra-cellular recordings This software aims to simplify data and analysis sharing for intra- and extra-cellular recordings. It supports time frequency plots, spike detection, spike rate calculation, and analysis of phase locked signals. . Data handling and storage utilizes a MySQL database, allowing to handle large amounts of data easily and efficiently. Therefore, a MySQL server running locally or on a remote machine is required. . This package provides the OpenElectrophy Python module. Python-Version: 2.4, 2.5 Package: python-pyxid Source: pyxid Version: 1.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 80 Depends: neurodebian-popularity-contest, python (>= 2.5), python-support (>= 0.90.0) Homepage: https://github.com/cedrus-opensource/pyxid Priority: optional Section: python Filename: pool/main/p/pyxid/python-pyxid_1.0-1~nd+1_all.deb Size: 11020 SHA256: 1031c0d69dd73cb38f3e0b826193211706a94bfd04da4287288418b257e54249 SHA1: 0f0d0524354e5d07eb89efcb11779d9acd9d57e2 MD5sum: 1f2a9bc07952b1f5c6b65fc5c092f75c Description: interface for Cedrus XID and StimTracker devices pyxid is a Python library for interfacing with Cedrus XID (eXperiment Interface Device) and StimTracker devices. XID devices are used in software such as SuperLab, Presentation, and ePrime for receiving input as part of stimulus/response testing experiments. . pyxid handles all of the low level device handling for XID devices in Python projects. Package: python-scikits-learn Source: scikit-learn Version: 0.10.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 88 Depends: neurodebian-popularity-contest, python-sklearn, python (>= 2.6), python-support (>= 0.90.0) Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: oldlibs Filename: pool/main/s/scikit-learn/python-scikits-learn_0.10.0-1~nd60+1_all.deb Size: 19828 SHA256: b7a4c3404d11fc206f4cec0b05dde6a5754348e48e044871212a34e7742fafd5 SHA1: 31b7916c921f9fb61556906541881c40c742b494 MD5sum: 9814228698e48e90fccf49a77f48b27d Description: transitional compatibility package for scikits.learn -> sklearn migration Provides old namespace (scikits.learn) and could be removed if dependent code migrated to use sklearn for clarity of the namespace. Package: python-scikits.statsmodels Source: statsmodels Version: 0.3.1-4~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13280 Depends: neurodebian-popularity-contest, python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0), python-numpy, python-scipy Recommends: python-matplotlib, python-nose, python-rpy Conflicts: python-scikits-statsmodels Replaces: python-scikits-statsmodels Provides: python2.5-scikits.statsmodels, python2.6-scikits.statsmodels Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: python Filename: pool/main/s/statsmodels/python-scikits.statsmodels_0.3.1-4~nd60+1_all.deb Size: 3100204 SHA256: aabb3b5c4610597e012e35855083c654e6096e8c6f55944e72e4098c6a0ea7e8 SHA1: 1a4c5b72844f1cbaa0a547b58e81fe071b4c3810 MD5sum: ddc25e00f60359831bf3a83684be6980 Description: classes and functions for the estimation of statistical models scikits.statsmodels is a pure Python package that provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem. Python-Version: 2.5, 2.6 Package: python-scikits.statsmodels-doc Source: statsmodels Version: 0.3.1-4~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 18676 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-scikits.statsmodels Conflicts: python-scikits-statsmodels-doc Replaces: python-scikits-statsmodels-doc Homepage: http://statsmodels.sourceforge.net/ Priority: extra Section: doc Filename: pool/main/s/statsmodels/python-scikits.statsmodels-doc_0.3.1-4~nd60+1_all.deb Size: 1877926 SHA256: 04f2fe71ec6b26f50da74dc8ebe35e50ba871387fc66c66ef96279b911381521 SHA1: 3e2c0b1039d4281f94b63eb8ae3a213f171e4a78 MD5sum: c78f5a53086cef135dbad5830eeb5159 Description: documentation and examples for python-scikits.statsmodels This package contains HTML documentation and example scripts for python-scikits.statsmodels. Package: python-simplegeneric Source: simplegeneric Version: 0.7-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 52 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Provides: python2.5-simplegeneric, python2.6-simplegeneric Homepage: http://pypi.python.org/pypi/simplegeneric Priority: extra Section: python Filename: pool/main/s/simplegeneric/python-simplegeneric_0.7-1~nd60+1_all.deb Size: 9802 SHA256: a1f16f30724b88550716edbaacbaedaea6dbcc88a2a5e22f375896ba31e71c5e SHA1: af5b697130da85854bdb717319c7ae2aa719b9ae MD5sum: 34b6361e577be81e7cc33b0597a0b491 Description: Simple generic functions for Python The simplegeneric module lets you define simple single-dispatch generic functions, akin to Python's built-in generic functions like len(), iter() and so on. However, instead of using specially-named methods, these generic functions use simple lookup tables, akin to those used by e.g. pickle.dump() and other generic functions found in the Python standard library. Package: python-sklearn Source: scikit-learn Version: 0.10.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 2792 Depends: neurodebian-popularity-contest, python (>= 2.6), python-support (>= 0.90.0), python-numpy, python-scipy, python-sklearn-lib (>= 0.10.0-1~nd60+1) Recommends: python-nose, python-psyco, python-matplotlib, python-joblib (>= 0.4.5) Suggests: python-dap, python-scikits-optimization, python-sklearn-doc, ipython Enhances: python-mdp, python-mvpa2 Breaks: python-scikits-learn (<< 0.9~) Replaces: python-scikits-learn (<< 0.9~) Provides: python2.6-sklearn Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn_0.10.0-1~nd60+1_all.deb Size: 833520 SHA256: fe998857eccf4e3cd5f6c71aae3b687b6893b32036a4653df6964f67b6ba1e76 SHA1: 79e4ff5d719dc9efcadf3de8f708b2a295238afb MD5sum: 1d0dad18a0b88728f0a0c8de856b29da Description: Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) Python-Version: 2.6 Package: python-sklearn-doc Source: scikit-learn Version: 0.10.0-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 23200 Depends: neurodebian-popularity-contest, libjs-jquery Suggests: python-sklearn Conflicts: python-scikits-learn-doc Replaces: python-scikits-learn-doc Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: doc Filename: pool/main/s/scikit-learn/python-sklearn-doc_0.10.0-1~nd60+1_all.deb Size: 12706854 SHA256: 650a5fc02fd191ddad890fad089dce382153a138a4dc612d605404484f147a8d SHA1: 0867d13997fd9c3f3d808b4fdec69a6b9a88f70e MD5sum: 8bfed1b8e04bc3e65d631ffb16bd916d Description: documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. Package: python-sklearn-lib Source: scikit-learn Version: 0.10.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1584 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1), python (<< 2.7), python (>= 2.6), python-numpy (<< 1:1.5), python-numpy (>= 1:1.4.1), python-support (>= 0.90.0) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.6-sklearn-lib Homepage: http://scikit-learn.sourceforge.net Priority: optional Section: python Filename: pool/main/s/scikit-learn/python-sklearn-lib_0.10.0-1~nd60+1_i386.deb Size: 586890 SHA256: 407a60d04c76890d4bf161f86dc758ce568d208d050150634de29e540ad11565 SHA1: a69ce8c4cc08c0ee2a3bebc460c1062c08e28a60 MD5sum: 466444d4118ff74d8a4c49ce4de88158 Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. Python-Version: 2.6 Package: python-sphinx Source: sphinx Version: 1.0.7-2~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 4188 Depends: neurodebian-popularity-contest, python (>= 2.4), python-support (>= 0.90.0), python-docutils (>= 0.5), python-pygments (>= 0.8), python-jinja2 (>= 2.2), libjs-jquery Recommends: python (>= 2.6) | python-simplejson, python-imaging Suggests: jsmath Homepage: http://sphinx.pocoo.org/ Priority: optional Section: python Filename: pool/main/s/sphinx/python-sphinx_1.0.7-2~nd60+1_all.deb Size: 1260210 SHA256: 5a134abec0131a6dcc56b85cd9089230b68374cc7e4896d8806d7e6e2e9ee9a7 SHA1: 21654aba4316d6b6799f864a41f925c64adf8725 MD5sum: 3968ce5358f08a65453ba21236af6630 Description: tool for producing documentation for Python projects Sphinx is a tool for producing documentation for Python projects, using reStructuredText as markup language. . Sphinx features: * HTML, CHM, LaTeX output, * Cross-referencing source code, * Automatic indices, * Code highlighting, using Pygments, * Extensibility. Existing extensions: - automatic testing of code snippets, - including doctrings from Python modules. Package: python-stfio Source: stimfit Version: 0.10.18-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 488 Depends: neurodebian-popularity-contest, libc6 (>= 2.2), libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libpython2.6 (>= 2.6), libstdc++6 (>= 4.4.0), python-numpy Recommends: python-matplotlib, python-scipy Homepage: http://www.stimfit.org Priority: optional Section: python Filename: pool/main/s/stimfit/python-stfio_0.10.18-1~nd60+1_i386.deb Size: 221414 SHA256: 5fc4311c401fedef756687e0edc91c28202b80e060e06be4641353c0575b6c7f SHA1: 028d5406abdef9af5e2ba09fcb55707357b11166 MD5sum: 5b84055f3e045777de0ef29ecf910038 Description: A Python module to read common electrophysiology file formats. The stfio module allows you to read common electrophysiology file formats from Python. Axon binaries (abf), Axon text (atf), HEKA (dat), CFS (dat/cfs), Axograph (axgd/axgx) are currently supported. Package: python-surfer Source: pysurfer Version: 0.2+git29-g3a98681-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 144 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-scipy, python-nibabel, python-imaging, mayavi2, python-argparse, ipython Homepage: http://pysurfer.github.com Priority: extra Section: python Filename: pool/main/p/pysurfer/python-surfer_0.2+git29-g3a98681-1~nd60+1_all.deb Size: 25976 SHA256: 33544a8203d152fd9aa39d290dcf6a788f2afe15fbf9f18548123386973364ea SHA1: 0d6a97a182777ab919edb01f60e371e8b24a8dd5 MD5sum: 3c79698748356332925121a1145cf5c2 Description: visualize Freesurfer's data in Python This is a Python package for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi’s powerful visualization engine with a high-level interface for working with MRI and MEG data. . PySurfer offers both a command-line interface designed to broadly replicate Freesurfer’s Tksurfer program as well as a Python library for writing scripts to efficiently explore complex datasets. Python-Version: 2.5, 2.6 Package: python-sympy Source: sympy Version: 0.6.7-1.1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9268 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0) Recommends: python-imaging, python-ctypes, ipython Homepage: http://code.google.com/p/sympy/ Priority: optional Section: python Filename: pool/main/s/sympy/python-sympy_0.6.7-1.1~nd60+1_all.deb Size: 1696348 SHA256: 90437808b931d5eb683327ab48a3ca8e81092be6f14d7f9cdf3f1fd8c8e6381d SHA1: 8ff9042d8752320997021155b1d7ee3620d11545 MD5sum: 38368c397ca1f942608ee78c4d6f1a8f Description: Computer Algebra System (CAS) in Python SymPy is a Python library for symbolic mathematics (manipulation). It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support. Package: python-tornado Version: 2.1.0-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 956 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python-pycurl, ca-certificates Recommends: python-mysqldb Breaks: python (>= 2.7), python (<< 2.5) Homepage: http://www.tornadoweb.org/ Priority: optional Section: python Filename: pool/main/p/python-tornado/python-tornado_2.1.0-1~nd60+1_i386.deb Size: 225880 SHA256: 2b4c0638b613d932c6aacf5bcfd223ad787becf3fe2c4fa61da05acd4bc1c2c4 SHA1: 9eb06cb9fba31fc35f2248f8a95538f54e99dd2e MD5sum: a4ce3b5c07fcb82a663866c72b7f674a Description: scalable, non-blocking web server and tools Tornado is an open source version of the scalable, non-blocking web server and tools that power FriendFeed. The FriendFeed application is written using a web framework that looks a bit like web.py or Google's webapp, but with additional tools and optimizations to take advantage of the underlying non-blocking infrastructure. Package: python-traits4 Source: python-traits Version: 4.0.0-1~cbp1~nd60+1 Architecture: i386 Bugs: mailto:bugs@neuro.debian.net Maintainer: NeuroDebian Team Installed-Size: 2216 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), python (<< 2.7), python (>= 2.5), python-support (>= 0.90.0) Suggests: python-traitsui Conflicts: python-traits (>= 4.0~) Homepage: http://pypi.python.org/pypi/traits Priority: optional Section: python Filename: pool/main/p/python-traits/python-traits4_4.0.0-1~cbp1~nd60+1_i386.deb Size: 380508 SHA256: d7ee493025ddf2d471587233bf0066f8f95c32708576e507dc88a65b3fabe08e SHA1: 4069a834a800297b6d3fba47d2a80f86c55abdf1 MD5sum: 64192ea2b1596f3197799ca79e3cd996 Description: Manifest typing and reactive programming for Python The traits package provides a metaclass with special attributes that are called traits. A trait is a type definition that can be used for normal Python object attributes, giving the attributes some additional characteristics: * Initialization: A trait attribute can have a default value * Validation: A trait attribute is manifestly typed. * Delegation: The value of a trait attribute can be contained in another object * Notification: Setting the value of a trait attribute can fired callbacks * Visualization: With the TraitsUI package, GUIs can be generated automatically from traited objects. Uploaders: Yaroslav Halchenko , Michael Hanke Vcs-Browser: http://git.debian.org/?p=pkg-exppsy/python-traits4.git Vcs-Git: git://git.debian.org/git/pkg-exppsy/python-traits4.git Package: python-tz Version: 2011h-0.1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 180 Depends: neurodebian-popularity-contest, tzdata, python, python-central (>= 0.6.11) Homepage: http://pypi.python.org/pypi/pytz/ Priority: optional Section: python Filename: pool/main/p/python-tz/python-tz_2011h-0.1~nd60+1_all.deb Size: 46922 SHA256: 358ffca351d867546f34bb4e9393d6944e63e7a817f3a1eb704396a28faa3bfc SHA1: 1f3c649c4ec7910443ecc3b70d458f04a118e77b MD5sum: 4eabe87106517e2815abcd9c5f491784 Description: Python version of the Olson timezone database python-tz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.3 or higher. It also solves the issue of ambiguous times at the end of daylight savings, which you can read more about in the Python Library Reference (datetime.tzinfo). Python-Version: all Package: python-workqueue Source: cctools Version: 3.4.2-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 372 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.4), python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~), python (<< 2.7) Homepage: http://nd.edu/~ccl/software/ Priority: extra Section: python Filename: pool/main/c/cctools/python-workqueue_3.4.2-1~nd60+1_i386.deb Size: 127626 SHA256: 7bf391ab49f5b46a1aa0f285a09e47454e5ab377f096e6da6ea799ea938487a6 SHA1: 44f46dc975e9ad1f77ddd7ff241e129d13a18d66 MD5sum: 7faaa531c92b42a0a0d290fdd4a53b62 Description: cooperative computing tools work queue Python bindings CCTools's Work Queue is a system and API for building master-worker style programs that scale up to thousands of processors. This package provides bindings to access this system from Python. Package: python-zmq Source: pyzmq Version: 2.1.7-1~ndcustom1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 1076 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libzmq1, python2.6 | python2.5, python (>= 2.6.6-3+squeeze3~) Breaks: python (>= 2.7), python (<< 2.5) Provides: python2.5-zmq, python2.6-zmq Homepage: http://www.zeromq.org/bindings:python Priority: optional Section: python Filename: pool/main/p/pyzmq/python-zmq_2.1.7-1~ndcustom1_i386.deb Size: 298724 SHA256: c0bcb7fab8826008b4fbaea2a8a0a95540ff78a50f41593e4a22f4aea27271fb SHA1: 713cce6606910227a4227086c0268bf91e7ba82a MD5sum: 9a0d00823d5a011d7f8506c56b3af78b Description: Python bindings for 0MQ library Python bindings for 0MQ. 0MQ is a small, fast, and free software library that gives you message-passing concurrency for applications in most common languages. . The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. Python-Version: 2.5, 2.6 Package: python-zmq-dbg Source: pyzmq Version: 2.1.7-1~ndcustom1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2088 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libzmq1, python2.6-dbg | python2.5-dbg, python-zmq (= 2.1.7-1~ndcustom1) Recommends: python-dbg Breaks: python-dbg (>= 2.7), python-dbg (<< 2.5) Homepage: http://www.zeromq.org/bindings:python Priority: extra Section: debug Filename: pool/main/p/pyzmq/python-zmq-dbg_2.1.7-1~ndcustom1_i386.deb Size: 804514 SHA256: b17cf9674446fa7a927c0da2c468db1b937ba411c630aa69caf40a637247fcc6 SHA1: ec0e9a17f61041394485aeae1d0d3d560431b8b4 MD5sum: 9e1201673613252bfa881489e8561b08 Description: Python bindings for 0MQ library - debugging files Python bindings for 0MQ. 0MQ is a small, fast, and free software library that gives you message-passing concurrency for applications in most common languages. . The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more. . This package contains the extension built for the Python debug interpreter. Package: qlandkarte Source: qlandkartegt Version: 0.16.0-1~squeeze.nd1 Architecture: all Maintainer: Michael Hanke Installed-Size: 32 Depends: qlandkartegt Homepage: http://www.qlandkarte.org Priority: optional Section: x11 Filename: pool/main/q/qlandkartegt/qlandkarte_0.16.0-1~squeeze.nd1_all.deb Size: 2600 SHA256: 971cfe8965e2ac770ab91d1ff374cd8a75c9c59d21a4a3a6c2fec65f0aa36f27 SHA1: 94b85cfadc8414252933de2d0bab789f82ea1161 MD5sum: 461d6da351ea7fcd3dbffa8c5a5bfcf3 Description: Transitional package for QLandkarteGT This is a transitional package for the QLandkarte to QLandkarteGT upgrade, and can be safely removed after the installation is complete. Package: qlandkartegt Version: 0.16.0-1~squeeze.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 4972 Depends: libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libgdal1-1.6.0, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libproj0, libqt4-network (>= 4:4.5.3), libqt4-opengl (>= 4:4.5.3), libqt4-sql (>= 4:4.5.3), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.5.3), libqtgui4 (>= 4:4.5.3), libstdc++6 (>= 4.1.1), libx11-6 Recommends: gdal-bin, qlandkartegt-garmin Replaces: qlandkarte Provides: qlandkarte Homepage: http://www.qlandkarte.org Priority: optional Section: x11 Filename: pool/main/q/qlandkartegt/qlandkartegt_0.16.0-1~squeeze.nd1_i386.deb Size: 2746470 SHA256: 051fe228305ff0cda9b7b33d57c4f1468f209b3936bcf7de4803b560b2627ef3 SHA1: 582f277bc81ca7f2c8e210a6d2607a0ad20b19fb MD5sum: afe54d1477816bc0fa3568f580f44ac8 Description: GPS mapping (GeoTiff and vector) and GPSr management This package provides a versatile tool for GPS maps in GeoTiff format as well as Garmin's img vector map format. QLandkarteGT is the successor of QLandkarte. Among various improvements (e.g. 2D/3D map rendering and reduced resource demands) the major difference is its device-independent architecture, which is not limited to Garmin devices anymore. Therefore, the package also does not include device drivers. Drivers for a number of Garmin devices are available from the qlandkartegt-garmin package. . Additionally, QLandkarteGT serves as a frontend to the GDAL tools, to make georeferencing of scanned maps feasible for users. In contrast to similar tools (e.g. QGis) its straightforward interface is especially suited for non-scientific users. Package: qlandkartegt-garmin Source: garmindev Version: 0.3.0-1~squeeze.nd1 Architecture: i386 Maintainer: Michael Hanke Installed-Size: 504 Depends: libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1), libusb-0.1-4 (>= 2:0.1.12) Homepage: http://www.qlandkarte.org Priority: optional Section: utils Filename: pool/main/g/garmindev/qlandkartegt-garmin_0.3.0-1~squeeze.nd1_i386.deb Size: 173266 SHA256: 5accd56b9d821da2fad69ea72d98e85181f862f9243b23c86972a3dfacdd5411 SHA1: 6d08d975d38903b9a43b91a9f886d7258fd55363 MD5sum: 587a9221a1879465e1e74743385dcd0a Description: QLandkarteGT plugins to access Garmin devices A collection of plugins for QLandkarteGT to talk to various Garmin GPS devices, including GPSMap60CSx, GPSMap76, eTrexH, eTrexLegend and similar GPSr. Package: sigviewer Version: 0.5.1+svn556-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 984 Depends: neurodebian-popularity-contest, libbiosig0, libc6 (>= 2.3.6-6~), libgcc1 (>= 1:4.1.1), libqt4-xml (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.4.0) Homepage: http://sigviewer.sourceforge.net Priority: extra Section: science Filename: pool/main/s/sigviewer/sigviewer_0.5.1+svn556-1~nd60+1_i386.deb Size: 427994 SHA256: 89d4c667129c8cf062a2c82416cd31d6bd35d978e159324db1e2990a369fa9c5 SHA1: ddea7783af89c1ed8be7b9b47a05d073937b5606 MD5sum: 48993d5b684d99f2649155025da3794e Description: GUI viewer for biosignals such as EEG, EMG, and ECG SigViewer is a viewing and scoring software for biomedical signal data. It relies on biosig4c++ library which supports a number of data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED . . Besides displaying biosignals, SigViewer supports creating annotations to select artifacts or specific events. Package: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: i386 Maintainer: Debian Science Team Installed-Size: 109832 Depends: libslicer3 (= 3.4.0~svn10438-3~squeeze.nd1), libc6 (>= 2.3.6-6~), libcurl3 (>= 7.16.2-1), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgdcm2.0 (>= 2.0.12), libgl1-mesa-glx | libgl1, libinsighttoolkit3.16, libkwwidgets1.0.0908, libopenigtlink1, libstdc++6 (>= 4.1.1), libvtk5.2, tcl8.5 (>= 8.5.0), vtk-tcl, slicer-data, itcl3, iwidgets4, tcllib, tcl8.5-kwwidgets Homepage: http://www.slicer.org/ Priority: optional Section: graphics Filename: pool/main/s/slicer/slicer_3.4.0~svn10438-3~squeeze.nd1_i386.deb Size: 23163276 SHA256: 3e91c2662ac069fb1f26d269b71e92d6eaa0e8def7cf4086050f1250fda6f956 SHA1: 0a064e6e4969b93b78fdafc57b705c4052c3e2e6 MD5sum: f9f144ec4df50bf71315b7fe9e7ab889 Description: software package for visualization and image analysis - main application Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer main application. Package: slicer-data Source: slicer Version: 3.4.0~svn10438-3~squeeze.nd1 Architecture: all Maintainer: Debian Science Team Installed-Size: 75656 Depends: tk8.5 | wish Homepage: http://www.slicer.org/ Priority: optional Section: doc Filename: pool/main/s/slicer/slicer-data_3.4.0~svn10438-3~squeeze.nd1_all.deb Size: 45850452 SHA256: c5a750d8b5ae619e7676d13bc9f8975e081771cfe9b6d534b000b54968903d3f SHA1: 34f83bdb09471100da1c6ea84b67a6064bf20708 MD5sum: 7470a7eb5cb992fb85799cd88960ff69 Description: software package for visualization and image analysis - share Slicer is an application for computer scientists and clinical researchers. The platform provides functionality for segmentation, registration and three-dimensional visualization of multi-modal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided therapy. Standard image file formats are supported, and the application integrates interface capabilities to biomedical research software and image informatics frameworks. . 3D Slicer data files. Package: spm8-common Source: spm8 Version: 8.4667~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 22352 Depends: neurodebian-popularity-contest Recommends: spm8-data, spm8-doc Priority: extra Section: science Filename: pool/main/s/spm8/spm8-common_8.4667~dfsg.1-1~nd60+1_all.deb Size: 10573690 SHA256: 8aa9f613db4d596b62c16b09218f3b0c7b0d598d936da22209e971b3369e5c89 SHA1: fd12e9e25ed9aa391403e70d2666fe40a0fe6bc6 MD5sum: 00d2e40ee0e82c296451f0a7940e6aa0 Description: analysis of brain imaging data sequences Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the platform-independent M-files. Package: spm8-data Source: spm8 Version: 8.4667~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 73084 Depends: neurodebian-popularity-contest Priority: extra Section: science Filename: pool/main/s/spm8/spm8-data_8.4667~dfsg.1-1~nd60+1_all.deb Size: 52167706 SHA256: 162599ca35a4e161c1a068d6dc58c5e3047e4caaa3a915b590edbdb8fe39af08 SHA1: a6159ab4fb7476743b2f9379b5542f04e0c9b75a MD5sum: 5b9abe3d26aa01b34f036ba69ebd591c Description: data files for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provide the data files shipped with the SPM distribution, such as various stereotaxic brain space templates and EEG channel setups. Package: spm8-doc Source: spm8 Version: 8.4667~dfsg.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9380 Depends: neurodebian-popularity-contest Priority: extra Section: doc Filename: pool/main/s/spm8/spm8-doc_8.4667~dfsg.1-1~nd60+1_all.deb Size: 8648912 SHA256: d5745267f4bd85af983f231f84633d2d7b9235150fe4ec2b02dbb9a3a366ab90 SHA1: 459809faf98947b5f7e8e3df7d7f9825913c134a MD5sum: b503c563c050f4cbab6dc052b709ec54 Description: manual for SPM8 Statistical Parametric Mapping (SPM) refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional brain imaging data. These ideas have been instantiated in software that is called SPM. It is designed for the analysis of fMRI, PET, SPECT, EEG and MEG data. . This package provides the SPM manual in PDF format. Package: stabilitycalc Version: 0.1-1~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 148 Depends: neurodebian-popularity-contest, python, python-support (>= 0.90.0), python-numpy, python-matplotlib, python-scipy, python-nifti Recommends: python-dicom Homepage: https://github.com/bbfrederick/stabilitycalc Priority: extra Section: science Filename: pool/main/s/stabilitycalc/stabilitycalc_0.1-1~nd60+1_all.deb Size: 28608 SHA256: 997379d03b4381e98ba743db58b918585f79a077ba7dbb726e745841a0ac402e SHA1: 1efb3b900d33eec54f3893e4affe87eda15bd8d2 MD5sum: 66d13f8fbd8d79e87fa99a0e8cab8cd0 Description: evaluate fMRI scanner stability Command-line tools to calculate numerous fMRI scanner stability metrics, based on the FBIRN quality assurance test protocal. Any 4D volumetric timeseries image in NIfTI format is support input. Output is a rich HTML report. Python-Version: 2.5, 2.6 Package: stimfit Version: 0.10.18-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 2008 Depends: neurodebian-popularity-contest, libatlas3gf-base, libc6 (>= 2.3.6-6~), libfftw3-3, libgcc1 (>= 1:4.1.1), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libpython2.6 (>= 2.6), libstdc++6 (>= 4.4.0), libwxbase2.8-0 (>= 2.8.10.1), libwxgtk2.8-0 (>= 2.8.10.1), python-wxgtk2.8 (>= 2.8.9), python-numpy, python-matplotlib Recommends: python-scipy Homepage: http://www.stimfit.org Priority: optional Section: science Filename: pool/main/s/stimfit/stimfit_0.10.18-1~nd60+1_i386.deb Size: 758590 SHA256: b8432f082311585fb16cf3d4702256842b6564752024c481def6a999aa7962d6 SHA1: d828fe87778957055a4833b614805d721e2f7b77 MD5sum: 0896f4cf07879c5a7dd4c45068de08a3 Description: A program for viewing and analyzing electrophysiological data Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: stimfit-dbg Source: stimfit Version: 0.10.18-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13096 Depends: neurodebian-popularity-contest, stimfit Recommends: python-matplotlib, python-scipy, python-stfio Homepage: http://www.stimfit.org Priority: extra Section: debug Filename: pool/main/s/stimfit/stimfit-dbg_0.10.18-1~nd60+1_i386.deb Size: 5020690 SHA256: 3aa620588ce06bc944245384a552db1888ef65ef2c742d55ef2e786a4bff8012 SHA1: 975b4e03c8393e34122d589ce937c11d6bc739e4 MD5sum: acca91b2d5e0637232d53ef0f9d39b96 Description: Debug symbols for stimfit Stimfit is a free, fast and simple program for viewing and analyzing electrophysiological data. It features an embedded Python shell that allows you to extend the program functionality by using numerical libraries such as NumPy and SciPy. Package: svgtune Version: 0.1.0-2 Architecture: all Maintainer: Yaroslav Halchenko Installed-Size: 64 Depends: python, python-lxml Suggests: inkscape Homepage: http://github.com/yarikoptic/svgtune Priority: optional Section: graphics Filename: pool/main/s/svgtune/svgtune_0.1.0-2_all.deb Size: 6680 SHA256: 69b4df1e0b4c247673265c7f5bb2b2ffe2209d783617bf7f6eadce86633f80e1 SHA1: bec339e4453c35a05a616deef6769a6f2ad2d00d MD5sum: ef6797498477a73f930ad9bc0db3ba73 Description: tool to generate a set of .svg files out of a single .svg file svgtune is just a little helper to generate a set of .svg files out of a single .svg file, by tuning respective groups/layers visibility, transparency or anything else. . It might come very handy for generation of incremental figures to be embedded into the presentation in any format which inkscape could render using original .svg file (e.g. pdf, png). Package: ubuntu-keyring Version: 2010.+09.30~nd60+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 32 Recommends: gpgv Priority: important Section: misc Filename: pool/main/u/ubuntu-keyring/ubuntu-keyring_2010.+09.30~nd60+1_all.deb Size: 11798 SHA256: 6cbcf7d81718e041431125e45215b746615d2012dc64a2a6c9d2a30e4826fed3 SHA1: a7ba0e713d1052a7aa26930c48dc4aaf6e97bbd1 MD5sum: cb5b41c6b935192df8432bce736f15b6 Description: GnuPG keys of the Ubuntu archive The Ubuntu project digitally signs its Release files. This package contains the archive keys used for that. Package: via-bin Source: via Version: 2.0.4-2~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 792 Depends: neurodebian-popularity-contest, lesstif2 (>= 1:0.94.4), libatlas3gf-base, libc6 (>= 2.7), libgsl0ldbl (>= 1.9), libice6 (>= 1:1.0.0), libpng12-0 (>= 1.2.13-4), libsm6, libvia2, libx11-6, libxext6, libxmu6, libxt6 Recommends: libvia-doc Conflicts: via, via-utils Replaces: via-utils Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: science Filename: pool/main/v/via/via-bin_2.0.4-2~nd60+1_i386.deb Size: 170028 SHA256: db0ab97fb0001f19b486c8ae0cdd37d307c429fc47deb9b74820f431ee717a6f SHA1: 609d09ccc41324b7440d422b01eee11208640b74 MD5sum: 8586e325e1cf54b717c5af820a59705a Description: tools for volumetric image analysis VIA is a volumetric image analysis suite for functional and structural (medical) images. The suite consists of different tools ranging from simple data handling over viewers to complex image transformation. . All tools operate on data in VISTA format. The package contains several converters from e.g. PNG, PGM or PNM to this data format and back. Package: voxbo Version: 1.8.5~svn1246-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 9696 Depends: neurodebian-popularity-contest, libc6 (>= 2.3.6-6~), libfontconfig1 (>= 2.8.0), libfreetype6 (>= 2.2.1), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libpng12-0 (>= 1.2.13-4), libqt4-network (>= 4:4.5.3), libqt4-qt3support (>= 4:4.5.3), libqtcore4 (>= 4:4.6.1), libqtgui4 (>= 4:4.6.1), libstdc++6 (>= 4.4.0), libx11-6, libxext6, libxi6, libxrender1, zlib1g (>= 1:1.1.4) Suggests: mni-colin27-nifti, matlab-spm8 Homepage: http://www.voxbo.org Priority: extra Section: science Filename: pool/main/v/voxbo/voxbo_1.8.5~svn1246-1~nd60+1_i386.deb Size: 3704676 SHA256: 85fa328a68fe5396b83bd5deecd9a4ecc085f14624a30bb60f68b8258633df51 SHA1: e08684d1d24a7a10d74297defa19af38be404f67 MD5sum: c29d119b1f6392e1aaf82600fd9bd69f Description: processing, statistical analysis, and display of brain imaging data This is a toolkit for analysis of functional neuroimaging (chiefly fMRI) experiments and voxel-based lesion-behavior mapping. VoxBo supports the modified GLM (for autocorrelated data), as well as the standard GLM for non-autocorrelated data. The toolkit is designed to be interoperable with AFNI, FSL, SPM and others. Package: xppaut Version: 6.11b+1.dfsg-1~nd60+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 6456 Depends: neurodebian-popularity-contest, libc6 (>= 2.7), libx11-6 Homepage: http://www.math.pitt.edu/~bard/xpp/xpp.html Priority: optional Section: science Filename: pool/main/x/xppaut/xppaut_6.11b+1.dfsg-1~nd60+1_i386.deb Size: 4091908 SHA256: 34cc1d4a480e3fc175c632affe02aeb4b0906ce9017ed3cd601ffd8130c19dd3 SHA1: f59d2931a5749299990b850ad8806da274d25725 MD5sum: 7baf3d66c15e6c6fc03597298bd25798 Description: Phase Plane Plus Auto: Solves many kinds of equations XPPAUT is a tool for solving * differential equations, * difference equations, * delay equations, * functional equations, * boundary value problems, and * stochastic equations. . The code brings together a number of useful algorithms and is extremely portable. All the graphics and interface are written completely in Xlib which explains the somewhat idiosyncratic and primitive widgets interface.