Package: afni Version: 0.20101222~dfsg.1-1~nd10.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 25488 Depends: neurodebian-popularity-contest, afni-common (= 0.20101222~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_0.20101222~dfsg.1-1~nd10.10+1_i386.deb Size: 9383180 SHA256: 0acd15b54ea05a60d7d51e1c6433105e189dfebc0724f8b139fec25385608696 SHA1: 9f6899cc1e3e164c3fcf7e8f54dfcd1745e395c5 MD5sum: a813b41f9322bfdf2c505b085b7b2f7b 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~nd10.10+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~nd10.10+1_all.deb Size: 4366262 SHA256: f7c3c36a52618a97f24a2c376eb4b4c8e9da114e9fb5533d46c132dafdd696f1 SHA1: 1c2e94d54d3ae855d3a70bf24c8c6fa95926db70 MD5sum: 42c1187dbee417d8a1a39d5dfa941605 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~nd10.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 11100 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~nd10.10+1_i386.deb Size: 3491848 SHA256: 9d579621377f03ced64288355fadc346d9c9ccf0409fbb9120a8f9729ac2a7da SHA1: b462a3e7a759445fc84a6b9db7856a18ca9a7dce MD5sum: 834e033a101e4ed74265404c444284e1 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: 0.0.12~nd10.10+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~nd10.10+1_all.deb Size: 11698 SHA256: c3d1713d0ba4fdc30844ee42a226f9f73210b988e987b6fcaccaeb4dc005ea09 SHA1: 0d36a931fe3fcaa5e33e2aae85fedf487fbe9b6a MD5sum: 6f83860b9b62eb68d3f6591b2ef19b0d 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~nd10.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 212 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.1~svn62-1~nd10.10+1) Recommends: matlab Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.1~svn62-1~nd10.10+1_all.deb Size: 21108 SHA256: 382889990a43925cb7715c70a36e8e3ef83369dc94afb4d57ab7912b857c1011 SHA1: e71ed959c99c56444aa2877dbe8391e2005cd4bb MD5sum: 4d75a92ef4e8eddf709cb54a97351f2c 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.