Package: afni Version: 0.20101018~dfsg.1-1~nd10.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 28240 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_amd64.deb Size: 11218058 SHA256: a1b1d6ea360882a53b65a297ecebce5cc06ceda67e1c9770a1c542c64749d996 SHA1: eecdf54eb5e2300265d1aec978a967b051d0e183 MD5sum: 47cc7363edb973f1e19fbea00f25743a 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 15004 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_amd64.deb Size: 3869178 SHA256: 7064165395588f055f410f45ec98436e78053eaa8c2585454a91671d4ce94348 SHA1: 5c362905c43fd81582f1801d9f616505a4f59c6d MD5sum: 8075918666b605c9e2a09dc5b2a37cc6 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: 0.0.9~nd10.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 128 Depends: 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_0.0.9~nd10.04+1_all.deb Size: 10994 SHA256: d05e74b55d91a28f2cd536220bc7d5b2e2016eb0dc4a3e34717343bbd2dd963c SHA1: 853f6fcaf5fe6d84706a0698e953cc222951d5be MD5sum: f67f8ea2010e17e14d1fc390a3499f8c 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.1-3 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.