Package: afni Version: 0.20140612~dfsg.1-1~nd14.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 33846 Depends: neurodebian-popularity-contest, afni-common (= 0.20140612~dfsg.1-1~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_0.20140612~dfsg.1-1~nd14.04+1_i386.deb Size: 8358428 SHA256: 208f0ba40b430949b698c470ec95ec96ae5b0469a180c462a6fb8a2a623b38f5 SHA1: 4a2cfff0e70a77c33434d50052e663fa23a5569b MD5sum: 501fedaf56e139ebda6227da2a1292bc 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~nd14.04+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~nd14.04+1_all.deb Size: 6949468 SHA256: 7d528a80e491f6ba075f6e78c15606c5ed7d7eff728a2f22469b15fd370b02c1 SHA1: a607baf5618a779c74175062dcad7f0c5135f46a MD5sum: 78e3d76c0a7f5cb72bc2dcf031fb614a 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~nd14.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 61647 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~nd14.04+1_i386.deb Size: 15429012 SHA256: 27889deacb798cc451d90a6900cd725ad23d24bbb6221264c06ba08d8ff86d07 SHA1: efd36caeaf677b82d314d3de96b9be7930521986 MD5sum: 45d2b873c2fd410d3ccef67d1b4baa68 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~nd14.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13540 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~nd14.04+1_i386.deb Size: 3167442 SHA256: 65a5ce53468b6a768b4fce7f3735db431542ee4ef1e9f62ae295854df6b45d94 SHA1: fa8b4ed07f87d6355d2a3ad136403f41325e50d7 MD5sum: 43aee3d8e9a8524362b1f286df7774c6 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 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 Depends: fsl-5.0-core (>= 5.0.7-1~nd14.04+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~), fsl-5.0-gpu (>= 5.0.7-1~nd14.04+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_all.deb Size: 3946 SHA256: e59e7e70578eec644ecd13d5a000bd6eb5d2797baa541814b3bd1b020b2c38bf SHA1: 63de6803d489afd79448ca62621a18881144612f MD5sum: a0369c549740148893de8c6d54d669eb 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 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 29 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_all.deb Size: 3902 SHA256: 2c83e11dbb7138c6ab45bb69d5cc5e6185473e7d877233b881b5faaea770787b SHA1: 5de959518ea5af10f8a7965174da2dbeb9ae68c6 MD5sum: c45e6c0734deb39c5ef0fc603a99f3ce 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.