Package: afni Version: 16.2.07~dfsg.1-2~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 46063 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_amd64.deb Size: 12822720 SHA256: 0ffb22868cc498085425e7c1de5b600ecd6e70760c9c0756bb657996a8d6390f SHA1: 443f57b8eaf9764f9239fd79900ea8f7d27c7081 MD5sum: 9ffbf24cd79fdc63221ea472a46cd620 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: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 39248 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_amd64.deb Size: 35210074 SHA256: e63a66c8be9fa59dc28528b7fda65bd38281d7fa3a2db9f9a32281c1a978b399 SHA1: 65a70487873dcbe910bef25b020bb5c5ef063379 MD5sum: a2628e0288fc183c2dd5b40e2b1e586e 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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fef8450e86f137449511246dacebf25fa0267d6a ff8e74b4e183d54ea1a63a3138f9e0154b8ed116 ff97895b3406c6d0031a8beff34ca55e646bb577 Package: afni-dev Source: afni Version: 16.2.07~dfsg.1-2~nd16.04+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 24089 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_amd64.deb Size: 4194940 SHA256: f04f1460703c201e8da94b86dc9a7e3d406c980f5e45462bac049f6d30f1030d SHA1: e6b5caec5fc282e11ad900d4b9d3d793d3e53cfd MD5sum: 9c9cf550f2dfc1d5111e841caa4c139a 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.