Package: afni Version: 0.20121123~dfsg.1-1~nd12.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 32068 Depends: neurodebian-popularity-contest, afni-common (= 0.20121123~dfsg.1-1~nd12.10+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.15), 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, qhull-bin Suggests: r-base Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20121123~dfsg.1-1~nd12.10+1_amd64.deb Size: 13199340 SHA256: b11ee22b53f1760cb7a556d70045fc9f79375baeee9edd90a960ace3cb625b20 SHA1: eba3cae77f9baf92b0255d746e6328f8f32384a3 MD5sum: fb65d973c1dca9e344ea79f3ec19219a 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: 0.20121123~dfsg.1-1~nd12.10+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 9298 Depends: neurodebian-popularity-contest, python, tcsh Recommends: python-mdp, python-nibabel Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20121123~dfsg.1-1~nd12.10+1_all.deb Size: 5813180 SHA256: e1ac3ed40a9ffc2a74b786bb3f99ae49a190976067f15205ccaec8b3fb1b6a11 SHA1: 3e99978cd124df6c20fd41e1c0566fee4f000f46 MD5sum: b0fa8cad31574712b19faea607eaaf42 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: 0.20121123~dfsg.1-1~nd12.10+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 16942 Depends: neurodebian-popularity-contest Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20121123~dfsg.1-1~nd12.10+1_amd64.deb Size: 4467284 SHA256: b479ad05ffdcf6f58e2249e050cb49b2328f3a74a65b56f379014387dcaf4c79 SHA1: 180fbd0ec2dd175915d7fad61060afe762ceefe2 MD5sum: e65745f0388f48640facea2c63795174 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.