Package: afni Version: 0.20121123~dfsg.1-1~nd70+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 30728 Depends: neurodebian-popularity-contest, afni-common (= 0.20121123~dfsg.1-1~nd70+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.7), 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), libjpeg62 (>= 6b1), libmotif4, libnetcdfc7, libnifti2, libsm6, libvolpack1, libx11-6, libxext6, libxi6, libxmu6, libxt6, xmhtml1 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_0.20121123~dfsg.1-1~nd70+1_i386.deb Size: 11787444 SHA256: 9be5aa3e1aa3009b8084c8038b1ba9898b20e045cd5ea722eddc993691c99d4d SHA1: ed630cc3f0a887cdc44894e83d6bb3a7b29a5cce MD5sum: f16d5385e059084b06e6f22f5e6deaa0 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 easily usable in combination with FSL and FreeSurfer. Package: afni-common Source: afni Version: 0.20121123~dfsg.1-1~nd70+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9298 Depends: neurodebian-popularity-contest, python, tcsh Recommends: python-mdp, python-nibabel Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20121123~dfsg.1-1~nd70+1_all.deb Size: 5813154 SHA256: c1b2d7f7b7b79ced73498444948ea8af93a0b306f5ee7df960ea8d8a77e19b63 SHA1: 3c9997fd08b9feaf20d7155e5ddda9ad51440b8c MD5sum: 12bd459c70edfd3d2ae092ffafbd9668 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-dev Source: afni Version: 0.20121123~dfsg.1-1~nd70+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 12664 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20121123~dfsg.1-1~nd70+1_i386.deb Size: 4093238 SHA256: bb7b765b374e894f18725fc91b1a86bd751178ad8a27ca4ef9b0b045b53413de SHA1: 46153451fe4dddb835eb1528518cd377c9046d17 MD5sum: 6f0ab309f05afe10f0846fea60be4c17 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~nd80+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 26 Depends: fsl-5.0-core (>= 5.0.4-1~nd80+1~), fsl-5.0-doc (>= 5.0.4-1~nd80+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~nd80+1_all.deb Size: 2492 SHA256: 55208297a28f96ba936fd99c499bc46ef9b0e0e4dedc76f24c8152cffc0d1250 SHA1: 2549e0b78a16f094be50075c89a1601a0c4a2f74 MD5sum: 1ebeb00c069d680efbb1225eb7e37657 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~nd80+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 26 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~nd80+1_all.deb Size: 2452 SHA256: 3735117a4929c8467ee6dba0dac793a8ea665ff884aca8f62c183d0660dcbe19 SHA1: 8bb3331fcccfda345119819f549c9da3daa9cf46 MD5sum: 493bb857d50f2b6140a5ed5d0016bb3f 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~nd70+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~nd70+1_all.deb Size: 14149362 SHA256: 1012570170f320fd554e68863fa71b88220c32cd9fb0e8ecd5d834b2e680d13a SHA1: 253f0c3089688b83caeb891e8dd7283890615b41 MD5sum: 48855e006e5b9a5c5eb94804dac64bd2 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-gdf Source: libgdf Version: 0.1.2-2~nd70+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 125 Depends: neurodebian-popularity-contest, libgdf-dev (>= 0.1.2-2~nd70+1), matlab-support Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.2-2~nd70+1_all.deb Size: 23796 SHA256: 61bbce20ad849c5a7a40068862b5a5d78249c29d93821f883b1b6233f0288db9 SHA1: dca0c381b7bcf97b5b43f30f1830a49dae1e57b2 MD5sum: 0c890224622e0cd2da22c8cb819828ed Description: IO library for the GDF -- Matlab interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package builds Matlab bindings for GDF at installation time. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.5236~dfsg.1-1~nd70+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1251 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd70+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd70+1_all.deb Size: 233036 SHA256: 665bd05106aca755afa05b8d4f3b6808a53db93eaf2024b9ee5f5ede6f47dde4 SHA1: f2211e27ff5ea8a32d8ee5f8f68db1f36990de39 MD5sum: cce5e9b97d36d5cf112826b7f8bdaa60 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. Package: matlab-support Version: 0.0.19~nd70+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 60 Depends: neurodebian-popularity-contest, debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0, libxp6, sudo Recommends: libstdc++6-4.4-dev | libstdc++-dev Conflicts: matlab (<= 0.0.14~) Replaces: matlab (<= 0.0.14~) Priority: optional Section: contrib/devel Filename: pool/contrib/m/matlab-support/matlab-support_0.0.19~nd70+1_all.deb Size: 31822 SHA256: 40ec0eb0e1c5b22d8c991569ac6457d1abb1f27d3cefe679eec1b4f214b5e3d1 SHA1: 1c50133d43ed59964573720431a4350f624d8f43 MD5sum: c591404632ff015e72938b4e8533d214 Description: distro integration for local MATLAB installations This package does not provide MATLAB. Instead, it configures an existing MATLAB installation to integrate more comfortably in a Debian installation. . Currently it provides /usr/bin/matlab through the alternatives system, offers to work around incompatibilities between the libraries bundled with MATLAB and system libraries, and provides a helper utility meant to be used by other packages to compile MEX extensions. . Install this if you would like your MATLAB installation to behave more like an ordinary Debian package. Other packages may depend on this one if they install MATLAB code, for example in order to compile MEX extensions.