Package: afni Version: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47388 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-2~nd15.04+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), libexpat1 (>= 2.0.1), libf2c2, libgiftiio0, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.9), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdfc7, libnifti2, libsm6, libvolpack1 (>= 1.0b3), libx11-6, libxext6, libxm4 (>= 2.3.4), libxmhtml1.1 (>= 1.1.9), libxmu6, libxt6, 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_16.2.07~dfsg.1-2~nd15.04+1_i386.deb Size: 11266542 SHA256: b1b14fe1c119de97d8a1c460cb7d522266d22da2405de058187b0ac3d551ba61 SHA1: fbc1c47eb0fb60c8c7c061efd83e9f41458125ed MD5sum: b603182dacf1d2737a2de4f8d3ad6511 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: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14483 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_16.2.07~dfsg.1-2~nd15.04+1_all.deb Size: 9364066 SHA256: d1d3adb5ac0d1e64420b0af0b39c51f739d036e53498958ca3bdfa36ecd9f3c4 SHA1: 7095f3a9dddc72ba43e862a979c7bf53f69e3aed MD5sum: 858963b789a093f93f4527f609d03c07 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: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 26197 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-2~nd15.04+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-2~nd15.04+1_i386.deb Size: 22606720 SHA256: edab4a40d0a49906a6a032e53c964f736c448ed9ea18186088c271eb7cf484c4 SHA1: 20fa3fb6fa8ab786d518e37e2581626f6a02c12f MD5sum: 4ac734c187928fd92a39147a552f1ec7 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: 16.2.07~dfsg.1-2~nd15.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17864 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_16.2.07~dfsg.1-2~nd15.04+1_i386.deb Size: 4052946 SHA256: 54e20ee58857f861a733dd070ac0c53b3040b5903e13e2feabd9b24405a01f6f SHA1: 3617edff599669476241614e495dca6c902007b7 MD5sum: 188409ef61b92721f6cd3587eb8ef19f 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: 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 Depends: fsl-5.0-core (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1~), fsl-atlases (>= 5.0~), fslview, fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Recommends: fsl-5.0-wiki (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1~), fsl-5.0-gpu (>= 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1~) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 4136 SHA256: d9039b231d2dd28d16b77f8460b0e9bc55b07bba49e08c477b0783cc214ccca9 SHA1: e174bffffc3e631adafe4948511ab8d11e217f69 MD5sum: 48db39781b68f88bd22ac4611a8747a0 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: 5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 Depends: fsl-5.0-complete, fsl-core Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-complete_5.0.7-1~nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 4082 SHA256: 5ee1c347b7a4da0932fe98780fe82b74a10fd2274483bfca393f659d3cd06f60 SHA1: d4f2037f4d04bed63aeb09b0091f7f1a01df7dbe MD5sum: db1b9e0a822933e29edc2c794f0f2469 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+nd14.04+1+nd14.10+1+nd15.04+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+nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 11048934 SHA256: 782c385bf7cdb46dcbb49e87e26a7af55428b6d6e4b57e8fccf5e3f6afcdeefd SHA1: 4e271a68d59890286fd0b019c75a772140f351b3 MD5sum: 2435dcadf3644ebbcb80055391de6866 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+nd14.04+1+nd14.10+1+nd15.04+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+nd14.04+1+nd14.10+1+nd15.04+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+nd14.04+1+nd14.10+1+nd15.04+1_all.deb Size: 172498 SHA256: 279d9765342cc4aa7099558b0b424747cfed47d3bb0ee78f2cbbfdcd09d6850b SHA1: 2d8dc259a33e40fe2a8ca8e43c6c72bbf6cdb09d MD5sum: 360f14b287acbf26a69332c1fdfc1998 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: 0.0.21~nd15.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 170 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, sudo Recommends: libstdc++6-4.4-dev | libstdc++-dev Suggests: lsb-core Conflicts: matlab (<= 0.0.14~) Replaces: matlab (<= 0.0.14~) Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab-support/matlab-support_0.0.21~nd15.04+1_all.deb Size: 33804 SHA256: fc807627cdf50107bbc40bcab7b0d6d8bef9e6178223dd09710fbc0a9c7b024b SHA1: 83e4a41c539427405f4f3cf3899397c8e0b04b8e MD5sum: 2807878bb53ec421e7531c1cccfe5cc0 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.