Package: afni Version: 0.20140612~dfsg.1-1~nd13.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 34226 Depends: neurodebian-popularity-contest, afni-common (= 0.20140612~dfsg.1-1~nd13.04+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), libmotif4, libnetcdfc7, libnifti2, libsm6, libvolpack1, libx11-6, libxext6, libxmu6, libxt6, xmhtml1, 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_0.20140612~dfsg.1-1~nd13.04+1_i386.deb Size: 12954084 SHA256: 712753e13b18af3932fe7b3e417978f0e99e01564fad0fa2eee82061e6e1abef SHA1: f80365a58534cff12f1779c5913ea88a7e1ba725 MD5sum: 4bf5e7e2d849954f77c05c8684d9f562 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: 0.20140612~dfsg.1-1~nd13.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 11199 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_0.20140612~dfsg.1-1~nd13.04+1_all.deb Size: 7371386 SHA256: 0e2e590afd46bb428ddf3087ed42f8b658bc13e797cd385121159c4322659914 SHA1: be5d5bc7d6949db3f196ec61f59f78a5471cf717 MD5sum: 373c4b9e2b294758ffb4544cba06a697 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: 0.20140612~dfsg.1-1~nd13.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 64413 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20140612~dfsg.1-1~nd13.04+1_i386.deb Size: 26457820 SHA256: f026a2c399ae6818aa74f2045b57140b3b50ffab05efe679463d9b410496f94c SHA1: 63bc83c019a34a83a245fa08e417b43d81187a26 MD5sum: 0e2e07af9fd75444f012a433237b3203 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: 0.20140612~dfsg.1-1~nd13.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13653 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20140612~dfsg.1-1~nd13.04+1_i386.deb Size: 4355020 SHA256: 41c65c4c7c1962c3be33165625855c8d49c84b7dbe8f63cd53b2b2f864b0a186 SHA1: e128b76b013eff24b66cc2de678b780f4a93e268 MD5sum: 7ab6376606cbe202579fa4d2829483a7 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: 5.0.5-1~nd13.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: fsl-5.0-core (>= 5.0.5-1~nd13.04+1~), fsl-5.0-doc (>= 5.0.5-1~nd13.04+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_5.0.5-1~nd13.04+1_all.deb Size: 3910 SHA256: 4569c5805929a22a2053d2afc2f1f4f2c74c6a6898b40289aa29c370cdeed021 SHA1: 74f2a216b7b84fac0f0a3d423e58e2f50d562e54 MD5sum: 5ffbeda258b081bdeb75138ee1812072 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: 5.0.5-1~nd13.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 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_5.0.5-1~nd13.04+1_all.deb Size: 3868 SHA256: 16916d76a96ddc8870d30c89c711ab545ce0b38a68259cdbb510825e457d42c3 SHA1: f6b32499e3a1ce38533329d81ec9f34c45ac94c0 MD5sum: 531aa6e912693aa87c4aee71d3001938 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 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_all.deb Size: 14149530 SHA256: 0de144efe450ff2baf847eeff10ce37d740ad1189698a02cfba344db10ed5f4d SHA1: e1ee1679e0bdad0a1045c72d6b32aebcfd911c7f MD5sum: 99945cbd31ef350ab1f4e1d5761069e5 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 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), 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_all.deb Size: 232882 SHA256: 5b041edc07602d848038fed440c8d55dcebdeec49ba9605f79b8b3b148da63b0 SHA1: 114d10afaec3d3d3a1d91ab39c5ceec17f50c10a MD5sum: df5ef0a423d75110157b10a1ee41190a 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.