Package: afni Version: 0.20101222~dfsg.1-1~nd+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 26868 Depends: neurodebian-popularity-contest, afni-common (= 0.20101222~dfsg.1-1~nd+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.7), 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), libmotif4, libnetcdf6, libnifti2, 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_0.20101222~dfsg.1-1~nd+1_amd64.deb Size: 10882314 SHA256: ca1cdbb855559faa8e7aaf322172ba782218b74973baa0d21d1b3156b56e4346 SHA1: 210dfdbf3988133eed4a8b3ad9dda0a06f1f62f5 MD5sum: 141736d48035a41837b82803107c0ae8 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: 0.20101222~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 7164 Depends: neurodebian-popularity-contest, python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20101222~dfsg.1-1~nd+1_all.deb Size: 4366228 SHA256: 521b78f09f9d817a55c00d7e0cef869bf912ca65377f30a948e216a9482ac9dd SHA1: 956997eea4d2d7efeff2cf1c5700518701f7bb5a MD5sum: 5a21483a35a7b3b14c60d89e2bd70bff Description: miscellaneous scripts and data files for AFNI This package provides the required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20101222~dfsg.1-1~nd+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15068 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20101222~dfsg.1-1~nd+1_amd64.deb Size: 3894168 SHA256: 84b49bd03196e5ab4cba99fc59d8cdc69350e12ff64e5cd9ce794682f04bded5 SHA1: 22805812e47f5818bf687db46b92692ecb8386e7 MD5sum: f3e40cadde2019c769214112bdd49e69 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: 0.0.13~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 140 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, libxp6, sudo Recommends: libstdc++6-4.4-dev | libstdc++-dev Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab/matlab_0.0.13~nd+1_all.deb Size: 15596 SHA256: 0248c38e4b57e3d01a55475fe385a9b394e790861a0435b1bf1d6d331bed4b81 SHA1: 0bca3bed8025ebf84a30a2da9b3a4eba20599cab MD5sum: 95a0abd2286f00950bfa438a9b0e20ae 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: 0.1.1~svn62-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.1~svn62-1~nd+1) Recommends: matlab Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.1~svn62-1~nd+1_all.deb Size: 21086 SHA256: 2a4f9629c1fe32890698d5ea0575a820b305c64192e50e7dc97a5f9b25452a61 SHA1: b8473f4694597538f6da9ab87765c496cf860769 MD5sum: 3c3c3832849b0e1d480b2e14d9c2ad70 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.1-3 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1428 Depends: matlab, spm8-common (= 8.4010~dfsg.1-3), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4010~dfsg.1-3_all.deb Size: 228886 SHA256: 13c67ded08f7534ebd1a01ffc7fa7a1a42e1a5c186d01b453237d1612b7adc3e SHA1: 63ad3ca94045a5d9184042dd7d66c8e1f3afdce4 MD5sum: 452f212f8f129a6feadbe8c9473ac1d2 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.