Package: afni Version: 0.20131204~dfsg.1-1~nd13.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 34249 Depends: neurodebian-popularity-contest, afni-common (= 0.20131204~dfsg.1-1~nd13.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), 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), libnetcdfc7, libnifti2, libsm6, libvolpack1, libx11-6, libxext6, libxm4 (>= 2.3.4), libxmu6, libxt6, xmhtml1 (>= 1.1.7-19~), zlib1g (>= 1:1.1.4) 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_0.20131204~dfsg.1-1~nd13.10+1_amd64.deb Size: 14188640 SHA256: 0f773728fa82179ddf0caea75a399e73c3dd8156bce0328b1287948fbd7813f6 SHA1: 8a2471e1ea05148f94c8e377a0ba4694475a9a29 MD5sum: fe43109ffe9d0a50a76c7ed837132d1e 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 integrates easily with FSL and FreeSurfer. Package: afni-common Source: afni Version: 0.20131204~dfsg.1-1~nd13.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10380 Depends: neurodebian-popularity-contest, python, tcsh Recommends: python-mdp, python-nibabel, afni-atlases Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20131204~dfsg.1-1~nd13.10+1_all.deb Size: 6655478 SHA256: 8727e4d91b346cc8c9aa6e7c71b871512fbb7a4451ec7d30aabc3d85eff3c9fe SHA1: c6a4c60b3b6d0ff632ee3cbf0de0cf7a2123fe13 MD5sum: 6f3fad3f9855b005572cb5837443fdc4 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-dbg Source: afni Version: 0.20131204~dfsg.1-1~nd13.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 83563 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20131204~dfsg.1-1~nd13.10+1_amd64.deb Size: 26813792 SHA256: 06a5fd82c3617bd5d47a2d31794b6fad4da0e0374f984518461ad48718c43c75 SHA1: 361d46ab307023bd81b03ce2288067c472c070ed MD5sum: f83d723957d3d1abada0068b41feaf01 Description: debug symbols 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 debug symbols which could be useful to troubleshoot and report problems with AFNI. Package: afni-dev Source: afni Version: 0.20131204~dfsg.1-1~nd13.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 17920 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20131204~dfsg.1-1~nd13.10+1_amd64.deb Size: 4689648 SHA256: d320edd93b0cbfabefbb5c467d67ed5c24d337c3a3bd86c0463ad88340d3cf83 SHA1: 016fd14b5bd6bb268cac1017759a1bf014bfa0e4 MD5sum: 12035b8c4cb92bdeb12b4606ca9b477a 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: 5.0.4-1~nd13.04+1+nd13.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 2 Depends: fsl-5.0-core (>= 5.0.4-1~nd13.04+1+nd13.10+1~), fsl-5.0-doc (>= 5.0.4-1~nd13.04+1+nd13.10+1~), 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_5.0.4-1~nd13.04+1+nd13.10+1_all.deb Size: 2562 SHA256: c086bbad236973f165d05cdb387ae172f0b05ef6f778c36daf9fd544d65fb49e SHA1: e1e88c9506438588c7397c601068117e849dfa68 MD5sum: 0bd6dbddd54db3e0a088fa651fb6af6d 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: 5.0.4-1~nd13.04+1+nd13.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 2 Depends: fsl-5.0-complete Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-complete_5.0.4-1~nd13.04+1+nd13.10+1_all.deb Size: 2520 SHA256: 0eb775351bfa3f27ddf006352a2db11e843e38401b73550d4a54cf8e5dafabc3 SHA1: 9303e09e6a69657cbe1b2dadbb06a786a985e69f MD5sum: 890c171098c97e48b5bf1bc3d09f6641 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+nd12.10+1+nd13.04+1+nd13.10+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+nd12.10+1+nd13.04+1+nd13.10+1_all.deb Size: 14149582 SHA256: 28bed17e0d05f12839840783f73f2773749c98fb4b24c4727830b4cfb4948292 SHA1: f5991db937a439fe1f844b73bc4d05b2a6f27a6c MD5sum: 4d659b42d0c0f413446e95c0eec57cd9 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-spm8 Source: spm8 Version: 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1164 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd12.10+1+nd13.04+1+nd13.10+1_all.deb Size: 232916 SHA256: 62200eca5ab5cbbb6665d608ef918a6573fb8e562e281417c21a19b1ff66166b SHA1: 5cc98a303b0a79cfbaef923690be1a0239510127 MD5sum: 54648b9f9e57892f2e8f70ecbf3d0292 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.