Package: afni Version: 0.20101018~dfsg.1-1~nd10.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 25816 Depends: afni-common (= 0.20101018~dfsg.1-1~nd10.10+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, libnetcdf6, libnifti1 (>> 1.1.0-2), libsm6, libvolpack1, libx11-6, libxext6, 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~nd10.10+1_i386.deb Size: 9681632 SHA256: 3bc0a9b7dc382c3298a5fa220004ee43d42a068d706653977781dc0c154f8155 SHA1: 66209055c658d5fa678da6846c070cfff98b0dc3 MD5sum: b00605f302d2853b23e2735867de3594 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~nd10.10+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~nd10.10+1_all.deb Size: 4188036 SHA256: 917aa14903053da0b30f362a72a88ca71fdc1596dacffbe569a530d5a2af3dd9 SHA1: a08e191f20e123526c8d996e6d2dffa2495cd1b3 MD5sum: c61b2a79a0adb145a51546a9e533bce5 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~nd10.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 10996 Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20101018~dfsg.1-1~nd10.10+1_i386.deb Size: 3458652 SHA256: c5892389684f67906412053354a765c70780cf54649f1dddee6321e6755a467e SHA1: 18da579fab336174dd8a9c4453cf420913fdfc21 MD5sum: 568b58a4bfa6bbdd0da5468d155b1570 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~nd10.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 204 Depends: libgdf-dev (>= 0.1.0~svn31-1~nd10.10+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~nd10.10+1_all.deb Size: 19942 SHA256: 04c6ab6d87c40924f732c7112d6a3ffec63be778947e8c5b7b747d2cb80c6c80 SHA1: efe2d35d80fbbe08328cf195becbad638b5a8f81 MD5sum: c07600528aea859053f90a47f2b08c07 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.