Package: afni Version: 0.20131204~dfsg.1-1~nd13.10+1+nd14.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 34245 Depends: neurodebian-popularity-contest, afni-common (= 0.20131204~dfsg.1-1~nd13.10+1+nd14.04+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 (>= 1.0b3), 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+nd14.04+1_amd64.deb Size: 9453734 SHA256: 814bfc1335f250aea3ca153f66f681c877504980853a4f495298decc9ffac812 SHA1: bd7569a062e2cca20d78a55cb4f1c25afae25234 MD5sum: 17da9963dc6d50c2a569170812691f20 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+nd14.04+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+nd14.04+1_all.deb Size: 6266590 SHA256: 3a06870ef29328a9c70e9523b471a91d2d72e67203998a2c52c2bcec053f5e13 SHA1: 8bffa51bfda89ff54512839189422f901a690c32 MD5sum: bc74d972826e58087223ef800f973e0e 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+nd14.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 83444 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+nd14.04+1_amd64.deb Size: 16190430 SHA256: 31c85cf65c367fc15f8ee439c18bef258da44a92467b9bd7e5c4d04b51120e9b SHA1: 35b30d2b59daac61878a5d73a97c97364e1a1068 MD5sum: 7a1e71cdb3ed5d604922d3f583d3966c 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+nd14.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 17916 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+nd14.04+1_amd64.deb Size: 3325552 SHA256: 850a86dff308672a5c96cc457cb8038c9e189002b5de1fcc5b2f29453d88c927 SHA1: ed5331f8342f9d01453cab538fcf65cb6af3ce74 MD5sum: d4b5c06fe66da38a46be6ad210f26be3 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+nd14.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 2 Depends: fsl-5.0-core (>= 5.0.4-1~nd13.04+1+nd13.10+1+nd14.04+1~), fsl-5.0-doc (>= 5.0.4-1~nd13.04+1+nd13.10+1+nd14.04+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+nd14.04+1_all.deb Size: 2542 SHA256: 227662e64c74a49b6ce356bc226a61f0c2961aded16464670058c97538f7ed41 SHA1: 448ee441e60f51a55a07717f2670a31e234a5e66 MD5sum: 72c9eeddc9e02d0ed7897f853251ed76 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+nd14.04+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+nd14.04+1_all.deb Size: 2496 SHA256: f667f72fa8993f429324258c7be251d8001c458e93e1ba0a164067b66f144053 SHA1: c373fd34cbbc3f234d75b2097ce61606a382fcda MD5sum: ea2a39a1afa38c18425edec53aa8b1c3 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 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_all.deb Size: 11057334 SHA256: 3c693e22752c17312e01fa7ad6cfbb242e54fd7e2c055e533ea045a5d7cc4931 SHA1: 820fe2fbc8a2ba13570b222d3bd3b4e94e5fec58 MD5sum: f60cd3f4e845fb4cbd336b35389dae54 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 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), 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_all.deb Size: 172144 SHA256: 39d9e1eb0ccd4db9bfef7ee22719122a0191b681488361f83f4a6104ed1e62a9 SHA1: 70bc06ac89469d7ec88a6ef24e7e2e971e749d0f MD5sum: f0900ca3ca73121487e6528ca858b02e 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.