Package: afni Version: 16.2.07~dfsg.1-1~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 46067 Depends: neurodebian-popularity-contest, afni-common (= 16.2.07~dfsg.1-1~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.1-1~nd16.04+1_amd64.deb Size: 12970376 SHA256: 7ec41501dc93752dcfe46b787568feab32f962b36fe1b13985d8447f43c5ad19 SHA1: f146403387cbf395c10023c080f65ea12b040c37 MD5sum: cb6e718bdd85ffa33bc19011fd41f4d5 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.1-1~nd16.04+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 14851 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.1-1~nd16.04+1_all.deb Size: 9344764 SHA256: 65bb37debfe3bb82f64e66d5d66dbd61eb7d21b7f1d7b73bfe3243f60b72aaba SHA1: 3c54aa2a0915749cad152f0ad5df2087f7f9b1a7 MD5sum: ad2e8f2a1a8e709ec8a2ed730c958230 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.1-1~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 39265 Depends: neurodebian-popularity-contest, afni (= 16.2.07~dfsg.1-1~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.1-1~nd16.04+1_amd64.deb Size: 35215138 SHA256: 0c41515d484380c541e5f7b80dd311178687f8d40654ca4f0572347c990b1083 SHA1: 15a144732def95c4a526462b4a1b70301c98b279 MD5sum: fdb4c4cad9d3c00e0deb7c56ef44c4b1 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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febddda0874e5eac0e0a24a54f03a821c9e3cfa7 ff1db912ec818dfa807ac2bebb695f5ca931a565 ffe76f0a3843a36b5b7aa6556f745a674fe0497d Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-1~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 24091 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.1-1~nd16.04+1_amd64.deb Size: 4215376 SHA256: 475d42f6605967de2b42d000d4a78f92cbff4f4d3452d71089f95a79c471bdd3 SHA1: 40fce5cfc7691cecd453176cadb147c8bf34adb3 MD5sum: 0af76dadd3e43b307cd2955d4c5aac07 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.