Package: afni Version: 0.20141118~dfsg.1-1~nd14.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 35436 Depends: neurodebian-popularity-contest, afni-common (= 0.20141118~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_0.20141118~dfsg.1-1~nd14.04+1_i386.deb Size: 8658730 SHA256: cc233928807c13639fb0725c7da2d4d6dec1373c8de48aa58c8cd1bb734ced95 SHA1: 7cc6e949a9c248e4f00afe94d33389053de19067 MD5sum: 0b14fc0b4ee4d57b953ee5b15b51faa2 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: 0.20141118~dfsg.1-1~nd14.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 12885 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_0.20141118~dfsg.1-1~nd14.04+1_all.deb Size: 8283570 SHA256: e17f28132f43cb2bf7c122ae52eb04715a8da3c9d04f8b466ad9d84a7bfd3788 SHA1: 769ec94d5d3519f932813b20ae588f9aa11bb389 MD5sum: 3adb67f9b85a1d4db5db874ca5bf7d6c 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: 0.20141118~dfsg.1-1~nd14.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 63888 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20141118~dfsg.1-1~nd14.04+1_i386.deb Size: 16067100 SHA256: f8960ebf69825cabac6c651f5ed559c5422f9d6c06bb9a9f2b7d0f168f82a7aa SHA1: 882d06f385a40a1f1ff44b05f7d01b38a9d3bffd MD5sum: 378efa918adf4919fa6181f3a5bced24 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: 0.20141118~dfsg.1-1~nd14.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13896 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20141118~dfsg.1-1~nd14.04+1_i386.deb Size: 3248124 SHA256: 2c66a6007f3dd649f1ae452198186c2769b14ed07ce2d01495733c913a99bf43 SHA1: 7529c990ec49b70764999a576a0aa609890f328f MD5sum: 569aee643dadcd1a5c1053777d3a688b 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.