Package: afni Version: 16.2.07~dfsg.1-2~nd16.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 47699 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-2~nd16.04+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.23), libexpat1 (>= 2.0.1), libf2c2, libgiftiio0, libgl1-mesa-glx | libgl1, libglib2.0-0 (>= 2.12.0), libglu1-mesa | libglu1, libglw1-mesa | libglw1, libgomp1 (>= 4.9), libgsl2, libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdf11 (>= 3.6.1), 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_16.2.07~dfsg.1-2~nd16.04+1_i386.deb Size: 11477956 SHA256: e4d2db6c104af90d90e3c507d956bbdfce089f06666837aa3d3d6812d631ad9d SHA1: 03071b0281f9e80d0eb92b691d00a743865d42eb MD5sum: f65bf78e1b172d6d0b7469c045579728 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: 16.2.07~dfsg.1-2~nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 14914 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_16.2.07~dfsg.1-2~nd16.04+1_all.deb Size: 9361928 SHA256: 38a6c987819a560c64b6bc376a1e7dda55e57eb85c5f5a1b5750e7e706ec9966 SHA1: 6e674aaf0b0618149a63c541886f8d9ad89a9be6 MD5sum: a6e4acf177d3a6924599f4782aa6b69c 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: 16.2.07~dfsg.1-2~nd16.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 33639 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-2~nd16.04+1) Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/debug Filename: pool/contrib/a/afni/afni-dbg_16.2.07~dfsg.1-2~nd16.04+1_i386.deb Size: 30688512 SHA256: c854bfd5d86a0f1eb8de43a11717172423fc594b2e724a0f027a3b4915a527d7 SHA1: dd70e87a1d8eb2b27cec85fc56fc9c5363d75e57 MD5sum: 51ac003322b0005c6c4e4cc99d3aa9b8 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. 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fdfc5019d238f75dafafde4e8c5bea872cedf416 fe034bbd93edba1b02c13741913b4199a107e194 ff29c2de6fe410caa3b08e3f1465410dcf48b762 Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-2~nd16.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17842 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_16.2.07~dfsg.1-2~nd16.04+1_i386.deb Size: 4050920 SHA256: 3c8222e39fa35122106b883706ee5a59f2dcc86c8adf6c0f2c74ae622201e655 SHA1: c573d9147032a188af66e626bf053d21606ba5f7 MD5sum: 09b26c3915a3da26ea1db22df6c0020f 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~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 Depends: fsl-5.0-core (>= 5.0.7-1~nd+1+nd16.04+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~nd+1+nd16.04+1~), fsl-5.0-gpu (>= 5.0.7-1~nd+1+nd16.04+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~nd+1+nd16.04+1_all.deb Size: 4028 SHA256: 3bae4a9f334d79ba6a81d4e67fcefca179e6305719689d1c58fc810f135bbbfb SHA1: b16de5bb9e96780a7baad716faf98c4b7c292c70 MD5sum: facb33ac7bdb95aad2f9bce2b6ac307b 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~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 12 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~nd+1+nd16.04+1_all.deb Size: 3982 SHA256: 070ba5075d52172423c5a71811c8c5f78238e7dd0eede291a2489cc4f4ffab29 SHA1: 0a4cb2c72af48f00362c28b5423fe2bdaefa974f MD5sum: b6b2f713c95b08521667e4590e9ac720 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~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 41106 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~nd+1+nd16.04+1_all.deb Size: 11051824 SHA256: 4450ba1f6828f37a6c057d0632772dadeb9a5b89f75c8e74b483cf940b7f0df2 SHA1: 8bc10bf10720d41cb679ad82080a43bc9808d2b7 MD5sum: 227503b5f41fcf5153fad14c826a4cf7 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~nd+1+nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 1217 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.5236~dfsg.1-1~nd+1+nd16.04+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.5236~dfsg.1-1~nd+1+nd16.04+1_all.deb Size: 171742 SHA256: 4c9f8bf1e63b3f69a51dd6b26c28924b31447a659e6452e269c99ccc9a82c54f SHA1: d703fb8473247798feeee0b36e12063317cf7ae1 MD5sum: a4a0cd800ca72c66504720f710706d7c 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.