Package: afni Version: 0.20121123~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 31990 Depends: neurodebian-popularity-contest, afni-common (= 0.20121123~dfsg.1-1~nd12.04+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), libf2c2, 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), libmotif4, libnetcdf6, libnifti2, libvolpack1, libx11-6, libxext6, libxmu6, libxt6, xmhtml1 Recommends: nifti-bin, bzip2, ffmpeg, netpbm, qhull-bin Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20121123~dfsg.1-1~nd12.04+1_amd64.deb Size: 13080434 SHA256: 697faac28bed922992b8ca800d616e72d745cae6477b9a0d0730acc891f96c3a SHA1: a5130d659e608ce5d35421c48536e0f55b27f6d0 MD5sum: fd380ac5aa957714069f78474f70f2a2 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: 0.20121123~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9298 Depends: neurodebian-popularity-contest, python, tcsh Recommends: python-mdp, python-nibabel Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20121123~dfsg.1-1~nd12.04+1_all.deb Size: 5813204 SHA256: f14817592be3ec8758f92d7c762367354814dc83e70d4a4ba969e41c091b974b SHA1: 07f41bd47d31cd6c1f577a292c54ef47e6b22329 MD5sum: 8cb9c850866077c869d9cb76052d7814 Description: miscellaneous scripts and data files for AFNI 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 required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20121123~dfsg.1-1~nd12.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16979 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20121123~dfsg.1-1~nd12.04+1_amd64.deb Size: 4430860 SHA256: 12d0a18cede8cfbfa30b57c0b443ce8c1a7faae6ca87a2cb5d7c9d849bf6ea52 SHA1: 222490db2c7ee3ead7807951d070fc0f57954c68 MD5sum: 753370f3e11c438090d907c521731825 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: fsl-5.0-complete Source: fslmeta Version: 5.0.2-4~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 26 Depends: neurodebian-popularity-contest, fsl-5.0 (>= 5.0.2-4~), fsl-doc-5.0 (>= 5.0.2-4~), fsl-atlases (>= 5.0~), fslview, fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.2-4~nd12.04+1_all.deb Size: 2456 SHA256: b3fa4d3dfc0ec3583633dd58f2b7b884259ca0c5f46fefceff02c5c4743a2cd5 SHA1: a5e28184c3fb0cf9027336a101f914902c24c976 MD5sum: 1102f5a19e0055e63b1380aea4a32a34 Description: metapackage for the entire FSL suite (tools and data) FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Installing this meta package yields a complete FSL 5.0 installation, including all tools and data packages. Package: fsl-complete Source: fslmeta Version: 5.0.2-4~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 26 Depends: neurodebian-popularity-contest, fsl-5.0-complete Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-complete_5.0.2-4~nd12.04+1_all.deb Size: 2420 SHA256: 8f0ac554f7c638d05a9a5e0a135688e5f6115ce475e04a988c79af5af76cc3c7 SHA1: afa90704995996c3a7c166f442eeb90d30122c51 MD5sum: 6767a689c200439ca00c15811310213a Description: metapackage for the entire FSL suite (tools and data) FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Installing this meta package yields a complete installation of the latest FSL version, including all tools and data packages. Package: matlab-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 40738 Depends: neurodebian-popularity-contest, matlab-support Recommends: eeglab11-sampledata Priority: extra Section: contrib/science Filename: pool/contrib/e/eeglab11/matlab-eeglab11_11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1_all.deb Size: 14149452 SHA256: 3505d709e5d8f7d7c98f5538fe0d093a3bbdbec8f496f17b78ae682d1a368d40 SHA1: 8c143e529f1d6ca3e7f7a7bdf98c1863b13b3bf1 MD5sum: ef4f8dc2ef1380002711b3ccffad2f69 Description: electrophysiological data analysis This is sofwware for processing continuous or event-related EEG or other physiological data. It is designed for use by both novice and expert users. In normal use, the EEGLAB graphic interface calls graphic functions via pop-up function windows. The EEGLAB history mechanism can save the resulting calls to disk for later incorporation into scripts. . This package provides EEGLAB to be used with Matlab. Note that this package depends on Matlab -- a commercial software that needs to be obtained and installed separately. Package: matlab-gdf Source: libgdf Version: 0.1.2-2~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd12.04+1), matlab-support Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.2-2~nd12.04+1_all.deb Size: 23576 SHA256: 2d1239e36931f5331a42e1d4c9f89ebde08745ece0e3dff81e61a41ae2440a59 SHA1: 41f8c3cca2f2fe82a7c09e67b771d1e845f74d20 MD5sum: 6aea46eab0b1279df83085a07d2bfdf8 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: 8.5236~dfsg.1-1~nd12.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1251 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd12.04+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd12.04+1_all.deb Size: 233504 SHA256: 4e1b16e9e288cd146a296a98d408a7c9da335ec162ce6a016dbdef3055715c50 SHA1: 16202235f3e69c581e0f08f63d1ada3ddab99a6f MD5sum: a8c9e897d1e4421c9b3392a4d573b00f 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 obtained and installed separately. Package: matlab-support Version: 0.0.19~nd12.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 60 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 Conflicts: matlab (<= 0.0.14~) Replaces: matlab (<= 0.0.14~) Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab-support/matlab-support_0.0.19~nd12.04+1_all.deb Size: 31830 SHA256: 4f7d423d23fa9089e4a43ee95d32ab9ea5b69a704c2daa1426965f93049b01a0 SHA1: 474d8906c9a9a2ab545411bf1b4481cb1fc5bb54 MD5sum: fc9c454c8e583a1b41f6cda40636a3c2 Description: distro integration for local MATLAB installations This package does not provide MATLAB. Instead, it configures an existing MATLAB installation to integrate more comfortably in a Debian installation. . Currently it provides /usr/bin/matlab through the alternatives system, offers to work around incompatibilities between the libraries bundled with MATLAB and system libraries, and provides a helper utility meant to be used by other packages to compile MEX extensions. . Install this if you would like your MATLAB installation to behave more like an ordinary Debian package. Other packages may depend on this one if they install MATLAB code, for example in order to compile MEX extensions.