Package: afni Version: 0.20101222~dfsg.1-1~nd09.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27668 Depends: neurodebian-popularity-contest, afni-common (= 0.20101222~dfsg.1-1~nd09.10+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), libmotif3, libnetcdf4, 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_0.20101222~dfsg.1-1~nd09.10+1_amd64.deb Size: 10928226 SHA256: ac21066c0686dbbac4990b95b62fbf286c4fdd3dad0fc734cdc102fd60da13f6 SHA1: a033b9dfb53780f8a4d36f3898584640c617ca98 MD5sum: ab42afcb394a67773edc23a5f5949c82 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~nd09.10+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~nd09.10+1_all.deb Size: 4366418 SHA256: 31634c81dbf9d0be1fe176177db6f331c00c374d5dd9e653ee647f7f9bf5b32e SHA1: 54937a59517c28d37f2a69eae4035563b3102543 MD5sum: 18979fb7f04de23694c1f4d3e50aaaf9 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~nd09.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15184 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~nd09.10+1_amd64.deb Size: 3910140 SHA256: 86b3b236681e164f8828af719b0aea03210dff34354f296f833451e88d1ab6c9 SHA1: 4cb5856c6cf0551f30a4a9896b3a3a270ac4f43f MD5sum: 3a38417b898414879b2ed903b6eec200 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: 2.0.20100907-1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 43632 Depends: mipav, openjdk-6-jre | java6-runtime Homepage: http://www.nitrc.org/projects/jist/ Priority: extra Section: contrib/science Filename: pool/contrib/j/jist/jist_2.0.20100907-1_all.deb Size: 9644918 SHA256: 0376b7ceaec9113e993afb0b1ac8ca28582d9194e66e688c5e6fdd292b7b3f76 SHA1: 6179b926b8813118063c3324670f84bd8afbee37 MD5sum: 6bfaf3e7f542a60c863c91eb200980ac 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. . This is a version of JIST package which does not aim to be DFSG-compliant and is provided solely for the purpose of installation on elderly systems (e.g. lenny) heavily lacking necessary dependencies. Package: matlab Version: 0.0.12~nd09.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 132 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, libxp6 Recommends: libstdc++6-4.4-dev | libstdc++-dev Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab/matlab_0.0.12~nd09.10+1_all.deb Size: 11694 SHA256: 4f004c2a968fff2638cab750ae8da0b263d56a8ccb396140afb613f9d7e6df83 SHA1: 2b201536b0ecc45cb4ecfd35bed4bd545e8e2156 MD5sum: 1c455f006d355296001e5911b8fd26f6 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-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.