Package: afni Version: 0.20120420~dfsg.1-1~nd12.04+1+nd12.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 43129 Depends: neurodebian-popularity-contest, afni-common (= 0.20120420~dfsg.1-1~nd12.04+1+nd12.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.7), libf2c2, 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), libmotif4, libnetcdfc7, libnifti2, libvolpack1, libx11-6, libxext6, libxmu6, libxt6, xmhtml1 Recommends: nifti-bin, bzip2, ffmpeg, netpbm, python, qhull-bin Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20120420~dfsg.1-1~nd12.04+1+nd12.10+1_i386.deb Size: 11671458 SHA256: 561161b26a8236d05203936b61290129602bdf16e865a07b679e585ecea5421b SHA1: 5a9d7c37be65233522770c9cc4a3acea4dce2847 MD5sum: 0c322d7492f836c92d2e2d5b47347a03 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 easily usable in combination with FSL and Freesurfer. Package: afni-common Source: afni Version: 0.20120420~dfsg.1-1~nd12.04+1+nd12.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 8817 Depends: neurodebian-popularity-contest, python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20120420~dfsg.1-1~nd12.04+1+nd12.10+1_all.deb Size: 5588936 SHA256: 6aa4132e34880c66a2cc173350c5660a3d600a6d67f0b6aa1334484a9195eb70 SHA1: c83664b1763fcaef5bddd8a437f6c63cc392d575 MD5sum: d5143c35bfd53afcd24da86cf1afa5c3 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-dev Source: afni Version: 0.20120420~dfsg.1-1~nd12.04+1+nd12.10+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 17457 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20120420~dfsg.1-1~nd12.04+1+nd12.10+1_i386.deb Size: 4447246 SHA256: d4246ab1501f38b9258c1bbebefba4b4239d664eba17efcddfde4807776dc529 SHA1: 7b9ec5c6afcc193231a06ba45f1c519480aaafeb MD5sum: 609da8cc0a553c210bd327ccb66c0b31 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: matlab-eeglab11 Source: eeglab11 Version: 11.0.0.0~b~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+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_all.deb Size: 14149490 SHA256: b7258ecb469a95dab80bfdd56b470770ea0dc82bf0271c6376ecc36ea30bea22 SHA1: 3111e35b3ff787933cb5e7fe4c0625bb35c5b269 MD5sum: 68bd313b27727aadf4bc4911caf43717 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: 8.4667~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 1164 Depends: neurodebian-popularity-contest, matlab-support, spm8-common (= 8.4667~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+1), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4667~dfsg.1-1~nd11.10+1+nd12.04+1+nd12.10+1_all.deb Size: 233736 SHA256: ed3b637b88c6a5ae19f16ca3416a12f33bb6eea1399bf1d4b351a5b7ec7baf8b SHA1: 40074351f2e86fd9bb306973ca2dcbe865541d43 MD5sum: 21f3ee82af1cab93e7d44c8c57368f74 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.