Package: afni Version: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 38452 Depends: neurodebian-popularity-contest, afni-common (= 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+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 (>= 4.9), 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), libxmhtml1.1 (>= 1.1.9), libxmu6, libxt6, 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_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_i386.deb Size: 9396202 SHA256: 79cfa05efcb4352be4cc009365e54544ca71c58feb14b457a0004b381b47f88d SHA1: b12bdc3c2c1e637b0b7f7de86810e92c639a6720 MD5sum: 850cc77501f55e0d1f18337bfb95b995 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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 13060 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_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_all.deb Size: 8436148 SHA256: ccd6afbea452aeb9401a13b3386bc5700b0e8f9d6186644462add1057104a550 SHA1: 363d1bc332b564ba0866191de644d75a18240c42 MD5sum: 3063bb86aab469b00fa725412182149b 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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 46349 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_i386.deb Size: 10509728 SHA256: ae96362f3368466718e22e1649ea4d03a758d530ab665633c1e325bb9cf4b15d SHA1: 81c45a5df796450e558c91db19bba99bf958a0f2 MD5sum: 7c5423b63df2b7855a692cd47c5f3e70 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: 0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 14684 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1_i386.deb Size: 3454260 SHA256: ffadb1290c0400145f1943bac5a5fbb9ee8d4818bfe810f27a40ede9d40b82e3 SHA1: aefc5ddb331943c5525137974c902a3efe0a7bcb MD5sum: c58382a5646bf89bc8be59a86fa678a7 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+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 Depends: fsl-5.0-core (>= 5.0.7-1~nd14.04+1+nd14.10+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+nd14.10+1~), fsl-5.0-gpu (>= 5.0.7-1~nd14.04+1+nd14.10+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+nd14.10+1_all.deb Size: 4086 SHA256: a69330ff67c920a665ec0911ac5c8d32bf33c7d484322b217934b8b8c6cae8ef SHA1: ca6599839c446b373805999d6f54da12a2e53fb0 MD5sum: 2871de81d5b349d32d30dd8b5150f7fe 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+nd14.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 6 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+nd14.10+1_all.deb Size: 4036 SHA256: fa7122d02b184129c00d234d99e2788e44ad55028b2a20cb49381ef4f3bf7841 SHA1: 6723abdf06ba37c5582909bde9ea802cf0c41489 MD5sum: fdeff945b0fb74a2cb2a68ea276cfe23 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+nd14.10+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+nd14.04+1+nd14.10+1_all.deb Size: 11058914 SHA256: aa6cad5d55266ce6beb6842118872e5671aecef7db641f02608779c54e26b91f SHA1: b1fe8322753026f6c9ce566f8f092f7909377b12 MD5sum: 49101e406ad8b918e21054911b629e8a 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+nd14.10+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+nd14.04+1+nd14.10+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+nd14.04+1+nd14.10+1_all.deb Size: 172414 SHA256: 88ffe127681cd23829ce8c5782b88ccae69dd04385dd0761eca111e7bc81fae9 SHA1: 460bec91d541e6bd43fdf62be64ec32865081b89 MD5sum: 72157e01bcd2ee5fd23c610cea687703 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.