Package: afni Version: 0.20140908~dfsg.1-1~nd13.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 34861 Depends: neurodebian-popularity-contest, afni-common (= 0.20140908~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_0.20140908~dfsg.1-1~nd13.10+1_i386.deb Size: 13182876 SHA256: e0d066fa1b8e939e9bbc99e77ee8b8fae5fe6c8ebcd21da2b5ab097b713d545f SHA1: 9dc09ea8085d6250cb0aba4ad449e2ac0935c018 MD5sum: 6e29ab4540491ee5073d907d8671c4b3 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: 0.20140908~dfsg.1-1~nd13.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11375 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_0.20140908~dfsg.1-1~nd13.10+1_all.deb Size: 7488100 SHA256: 7039b0f3b07c7079a8d8ed603506ab6d87b441ec4d0a8aadc34552f3593c0eba SHA1: ae361e262ac3f3d0449469f282d0e8260186635c MD5sum: 2fbb8cc5ede0386596fc7967f9372c3e 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: 0.20140908~dfsg.1-1~nd13.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 63199 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20140908~dfsg.1-1~nd13.10+1_i386.deb Size: 26307022 SHA256: df8c64bdd65f0d46e40b2754279b15e9b00e5f1c5c23a6f8df67cc7da8e5f745 SHA1: f84d08b09268ad59cc9ce45661c50bb754bbba0c MD5sum: 881e48ce7ab9bd7620c83c3600a42080 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: 0.20140908~dfsg.1-1~nd13.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13714 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20140908~dfsg.1-1~nd13.10+1_i386.deb Size: 4397524 SHA256: 33bc7fb15e8ba4e1fe65ac19375d23041b499ac94ee92eb3ecad45ead41beb5d SHA1: 8207daf43d019afe43f1d22d6287faf914651a55 MD5sum: e7086f241411a1d292a25c20014dac55 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.