Package: afni Version: 0.20130903~dfsg.1-1~nd13.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 31668 Depends: neurodebian-popularity-contest, afni-common (= 0.20130903~dfsg.1-1~nd13.04+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), libmotif4, libnetcdfc7, libnifti2, libsm6, libvolpack1, libx11-6, libxext6, libxmu6, libxt6, xmhtml1, 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_0.20130903~dfsg.1-1~nd13.04+1_i386.deb Size: 12072426 SHA256: e8616b643a930afab2943455151a7e2f72b710717aa7a70cc272d6b5f589e6a9 SHA1: cd2f07290d73575615413d96d5bda8d523a91737 MD5sum: c83f5105d4554a35a892fb048a5ddec0 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: 0.20130903~dfsg.1-1~nd13.04+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 10158 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_0.20130903~dfsg.1-1~nd13.04+1_all.deb Size: 6439270 SHA256: dff2a1a8150a34036e7bd1a522e567e9125af1dff5f79b1f95a844210df41cfa SHA1: 45982a06f7a2a57da9941bd692edcb972069f1fc MD5sum: ea84e8d53fd8485390dfb216f9946190 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: 0.20130903~dfsg.1-1~nd13.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 59107 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dbg_0.20130903~dfsg.1-1~nd13.04+1_i386.deb Size: 24456682 SHA256: 38383447400c690afb9e003608eeb95b2a9436a7ab0c0a6b1c0d563f6950257b SHA1: b92c17969a342fbd4bc16e6179b32ee68b5a11c0 MD5sum: 946760de35a51a3b736553c6021da7ce 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: 0.20130903~dfsg.1-1~nd13.04+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 13099 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20130903~dfsg.1-1~nd13.04+1_i386.deb Size: 4184358 SHA256: c75d305d2ba2c0a179a85858421b0af89a9ba140b5b0498e6731f3c4e3a11d75 SHA1: 49bb12c5c24ea580133cf017a001b09b6e9ce5ed MD5sum: 814898b8efea1e266fe4a49ed31fa918 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 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 26 Depends: fsl-5.0-core (>= 5.0.4-1~nd13.04+1~), fsl-5.0-doc (>= 5.0.4-1~nd13.04+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_all.deb Size: 2500 SHA256: 2f869daf0444f8b9d3d1f47184ccd863a1c5a5754dbc30fe2c3b65808b9e9f5c SHA1: c5f983106df0fe4540cec450ca9b60d0f67f7cf8 MD5sum: f6e023c701051f8cbd00531b2cb18b23 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 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 26 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_all.deb Size: 2454 SHA256: 93ecdd3cd4605356c1e7bacd44582c4b75cba81ed21fa826eb6eecb091e248ce SHA1: 659095d9e279373e6d004319b5eaa004f6c5876b MD5sum: 23c4be5a5ceb38d9cf4ab834a464ce44 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 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_all.deb Size: 14149530 SHA256: 0de144efe450ff2baf847eeff10ce37d740ad1189698a02cfba344db10ed5f4d SHA1: e1ee1679e0bdad0a1045c72d6b32aebcfd911c7f MD5sum: 99945cbd31ef350ab1f4e1d5761069e5 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 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), 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_all.deb Size: 232882 SHA256: 5b041edc07602d848038fed440c8d55dcebdeec49ba9605f79b8b3b148da63b0 SHA1: 114d10afaec3d3d3a1d91ab39c5ceec17f50c10a MD5sum: df5ef0a423d75110157b10a1ee41190a 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.