Package: afni Version: 0.20101018~dfsg.1-1~nd10.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 26156 Depends: afni-common (= 0.20101018~dfsg.1-1~nd10.04+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.11), libf2c2, libgiftiio0, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.2.1), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libmotif3, libnetcdf4, libnifti1 (>> 1.1.0-2), libsm6, libvolpack1, libx11-6 (>= 0), libxext6 (>= 0), libxi6, libxmu6, libxt6 Recommends: nifti-bin, bzip2, ffmpeg, netpbm Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20101018~dfsg.1-1~nd10.04+1_i386.deb Size: 9782006 SHA256: bf2dbf7c5f6dce87201a2ba9d18936c6f204dce02ac6b57ec3b1d028aeac1cb9 SHA1: 8d2f99e843d80a66dab14ee3d8374987edf9f6c2 MD5sum: 618dafce8fab9cda3b8761fa54dfb2c4 Description: toolkit for analyzing and visualizing functional MRI data AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . In addition to its own format AFNI understands the NIfTI format and is therefore easily usable in combination with FSL and Freesurfer. Package: afni-common Source: afni Version: 0.20101018~dfsg.1-1~nd10.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6892 Depends: python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20101018~dfsg.1-1~nd10.04+1_all.deb Size: 4188212 SHA256: 7171b9e3ac9f8cb537f0a6896fdd2619bb06cd09ab042fb80b5e8a0eb89fee19 SHA1: 03ebe7ecc5b46e2464f4cab277475b61a55d8019 MD5sum: c94669328107af60d82f3f1cb228d5cf Description: miscellaneous scripts and data files for AFNI This package provides the required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20101018~dfsg.1-1~nd10.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11040 Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20101018~dfsg.1-1~nd10.04+1_i386.deb Size: 3463324 SHA256: 057ccc8e44ecf862a0f9fd382389d434892c9254855d5051da241521d2bd84af SHA1: e9efec2e0a4c49580371f168fab380d24f3aae37 MD5sum: 452741f17eddc3367bfd849198ce6e60 Description: header and static libraries for AFNI plugin development AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA). . This package provides the necessary libraries and header files for AFNI plugin development. Package: jist Version: 2.0.20100907.dfsg1-1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 40092 Depends: mipav, openjdk-6-jre | java6-runtime, libcommons-cli-java (>= 1.2), libdrmaa-java, libjgraph-java (>= 5.10.1.2), libxom-java (>= 1.2.1), libxpp3-java (>= 1.1.4c), libxstream-java (>= 1.3.1) Homepage: http://www.nitrc.org/projects/jist/ Priority: extra Section: contrib/science Filename: pool/contrib/j/jist/jist_2.0.20100907.dfsg1-1_all.deb Size: 9020652 SHA256: b4059b70c695e9caba46e8ea1cca6482819c740b2d91b56a569a11f6c7fc60ba SHA1: 1f898a03ea355a710e23cc79ff3b5d4c63295852 MD5sum: 800acee273ebe4a3bd78c49d32188556 Description: Java Image Science Toolkit Java Image Science Toolkit (JIST) provides a native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces. Package: matlab Version: 0.0.6 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 132 Depends: debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0 Priority: optional Section: contrib/science Filename: pool/contrib/m/matlab/matlab_0.0.6_all.deb Size: 10376 SHA256: 1b43276116a33fd39fbd9b0a00c660b53d573afa76871b1ce050532e932ba817 SHA1: 0f7757e0b1ca23459834c38d3aa8da1a32e96652 MD5sum: 5b6e960ef29a4ab031393196adf18344 Description: integrate local Matlab installations into the Debian system This package does NOT provide Matlab (TM). It merely helps sysadmins integrate local installations in the Debian system to handle this proprietary software in a more coherent way. Moreover, this package can be used as a runtime dependency for packages that install Matlab code and, for example, need to compile MEX extensions. . One or more Matlab installations can be registered with Debian's alternatives system, and a helper utility to build MEX extensions is provided. All configuration is conveniently done via debconf. Package: matlab-gdf Source: libgdf Version: 0.1.0~svn31-1~nd10.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 204 Depends: libgdf-dev (>= 0.1.0~svn31-1~nd10.04+1) Recommends: matlab Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.0~svn31-1~nd10.04+1_all.deb Size: 19968 SHA256: aa6319b8fcb730a43a42ac68e44b790ff08d8668de8050daa0b4feef4ebb98bc SHA1: 9f7ecdd3752ee9896f6950afc39e9a15c7217ff4 MD5sum: b98ba29b7601ca941e3a47a3280b2fe2 Description: IO library for the GDF -- Matlab interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package builds Matlab bindings for GDF at installation time. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.4010~dfsg.1-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 468 Depends: matlab, spm8-common (= 8.4010~dfsg.1-2), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4010~dfsg.1-2_all.deb Size: 76790 SHA256: 8091a86588eaebfd64dd2bcec22dbdf9c1a82e0cdf22f4a5f334afe23a488009 SHA1: c175e17a5b48a4a746d9a55638290bf7b4dde74f MD5sum: 6d488684eea24fec5bb8a65b6ad436f8 Description: analysis of brain imaging data sequences for Matlab 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 SPM to be used with Matlab. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately.