Package: afni Version: 0.20131204~dfsg.1-1~nd13.10+1+nd14.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 32502 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_i386.deb Size: 8073454 SHA256: 9fb4b9dad08f9055bfb521e5fd08ab756e84870106c5dbbcf7dedd387107cee2 SHA1: b7433548dec827e0b3cd367f5596118bc23e23bc MD5sum: 97a9bcaa4e08a8fe390e2fba1fd7f6b4 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 59310 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_i386.deb Size: 14837920 SHA256: 4590433b4f98c710eaba1b1709383acde6d9407ce2d79365650d5416280d576f SHA1: a121f0cbb463519697d1f2be1be80400a7f7716f MD5sum: 26945c5667e0b302ca0f3f8856c239d2 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: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13240 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_i386.deb Size: 3100060 SHA256: 5c70f4eefab80aa86bca2df4cefb177433dc4df39197c3292e0d5c14b0b42bd4 SHA1: da9a7d6005b2baf4701222fef79e868064d63ceb MD5sum: 1847a953c888f058488eb7cac2ff8ff3 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.