Package: afni Version: 0.20141224~dfsg.1-1~nd13.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 37533 Depends: neurodebian-popularity-contest, afni-common (= 0.20141224~dfsg.1-1~nd13.10+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 (>= 4.2.1), libgsl0ldbl (>= 1.9), libgts-0.7-5 (>= 0.7.6), libice6 (>= 1:1.0.0), libnetcdfc7, libnifti2, libsm6, libvolpack1, 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_0.20141224~dfsg.1-1~nd13.10+1_amd64.deb Size: 15503282 SHA256: 3acf755c172210d165033669d4997f9dc628138413571954e34bcb04c70430a2 SHA1: 8ed2e635be604e2f08c7799ee1d58ff0b9783921 MD5sum: b904eab1f5ec9971e40c4b273b49f90b 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~nd13.10+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~nd13.10+1_all.deb Size: 8980900 SHA256: 947e0ddc618919f4b1748cf6bfc837f1cb7967564ed01e5c39f31e38fc8632be SHA1: df6400ac9db56b88e03b24d800705655af27e7e5 MD5sum: f4407cfbc703a7e41747529f85fe94d1 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~nd13.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 90871 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~nd13.10+1_amd64.deb Size: 29049752 SHA256: c75564f25aab8d2c72f1d54a6cd3b9576d795f72f15d553501afcafbdb7f0106 SHA1: 3ba34bf1c6b49cefafe9515680a362d1dc4210a6 MD5sum: d11701ac5ca3a2f6c5c90c55ac77f4bd 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~nd13.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 18888 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~nd13.10+1_amd64.deb Size: 4947490 SHA256: d0d2e926de398c6ace3cd0e2104e896fcd2aaf46717e2f50fae90c984553f2bd SHA1: 1d9436020bae04d07ed6075cd0edfe6a64f09f7e MD5sum: 08cf1dccb93125ed92b81c1fd2674b96 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: 5.0.4-1~nd13.04+1+nd13.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 2 Depends: fsl-5.0-core (>= 5.0.4-1~nd13.04+1+nd13.10+1~), fsl-5.0-doc (>= 5.0.4-1~nd13.04+1+nd13.10+1~), fsl-atlases (>= 5.0~), fslview, fsl-possum-data (>= 5.0~), fsl-first-data (>= 5.0~) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-5.0-complete_5.0.4-1~nd13.04+1+nd13.10+1_all.deb Size: 2562 SHA256: c086bbad236973f165d05cdb387ae172f0b05ef6f778c36daf9fd544d65fb49e SHA1: e1e88c9506438588c7397c601068117e849dfa68 MD5sum: 0bd6dbddd54db3e0a088fa651fb6af6d 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: 5.0.4-1~nd13.04+1+nd13.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 2 Depends: fsl-5.0-complete Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: contrib/science Filename: pool/contrib/f/fslmeta/fsl-complete_5.0.4-1~nd13.04+1+nd13.10+1_all.deb Size: 2520 SHA256: 0eb775351bfa3f27ddf006352a2db11e843e38401b73550d4a54cf8e5dafabc3 SHA1: 9303e09e6a69657cbe1b2dadbb06a786a985e69f MD5sum: 890c171098c97e48b5bf1bc3d09f6641 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 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_all.deb Size: 14149582 SHA256: 28bed17e0d05f12839840783f73f2773749c98fb4b24c4727830b4cfb4948292 SHA1: f5991db937a439fe1f844b73bc4d05b2a6f27a6c MD5sum: 4d659b42d0c0f413446e95c0eec57cd9 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 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), 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_all.deb Size: 232916 SHA256: 62200eca5ab5cbbb6665d608ef918a6573fb8e562e281417c21a19b1ff66166b SHA1: 5cc98a303b0a79cfbaef923690be1a0239510127 MD5sum: 54648b9f9e57892f2e8f70ecbf3d0292 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.