Package: afni Version: 0.20101018~dfsg.1-1~nd+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 27420 Depends: afni-common (= 0.20101018~dfsg.1-1~nd+1), tcsh, gifsicle, libjpeg-progs, freeglut3, libc6 (>= 2.7), 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, libnetcdf6, libnifti2, libsm6, libvolpack1, libx11-6, libxext6, libxi6, libxmu6, libxt6 Recommends: nifti-bin, bzip2, ffmpeg, netpbm Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni_0.20101018~dfsg.1-1~nd+1_amd64.deb Size: 11166580 SHA256: e88e91422776f5cbfbadae578e4c8735c0ca67d0d13af714d1219560ac4ffbde SHA1: c07b1b377fcd29961d9bd8c5fcba90f434cd75f7 MD5sum: b22f3b9cd04ffbfe733435cfae9436ca 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: 0.20101018~dfsg.1-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 6892 Depends: python, tcsh Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-common_0.20101018~dfsg.1-1~nd+1_all.deb Size: 4188044 SHA256: ae45b62d0a6871fa840bc577875412730bb6032051ff23a995ff41706fd7b5a4 SHA1: 0d9d8d936979d894f302307b66f331a5890b0ee9 MD5sum: 6f9327a712ca93d8e9ee70edbf268c03 Description: miscellaneous scripts and data files for AFNI This package provides the required architecture independent parts of AFNI. Package: afni-dev Source: afni Version: 0.20101018~dfsg.1-1~nd+1 Architecture: amd64 Maintainer: NeuroDebian Maintainers Installed-Size: 14892 Homepage: http://afni.nimh.nih.gov Priority: extra Section: contrib/science Filename: pool/contrib/a/afni/afni-dev_0.20101018~dfsg.1-1~nd+1_amd64.deb Size: 3855398 SHA256: dbd74839cb19ce08d0f5ea7b11c4fe25c352e169eadc4a319c534463057d1591 SHA1: c08e0ea6b4c35564406a534504ceb3c120c3c82a MD5sum: cb549444dea231e29468b4035143d3c1 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: jist Version: 2.0.20100907.dfsg1-1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 40092 Depends: mipav, openjdk-6-jre | java6-runtime, libcommons-cli-java (>= 1.2), libdrmaa-java, libjgraph-java (>= 5.10.1.2), libxom-java (>= 1.2.1), libxpp3-java (>= 1.1.4c), libxstream-java (>= 1.3.1) Homepage: http://www.nitrc.org/projects/jist/ Priority: extra Section: contrib/science Filename: pool/contrib/j/jist/jist_2.0.20100907.dfsg1-1_all.deb Size: 9020652 SHA256: b4059b70c695e9caba46e8ea1cca6482819c740b2d91b56a569a11f6c7fc60ba SHA1: 1f898a03ea355a710e23cc79ff3b5d4c63295852 MD5sum: 800acee273ebe4a3bd78c49d32188556 Description: Java Image Science Toolkit Java Image Science Toolkit (JIST) provides a native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces. Package: matlab Version: 0.0.6 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 132 Depends: debconf (>= 1.3.22) | cdebconf (>= 0.43), debconf (>= 0.5) | debconf-2.0 Priority: optional Section: contrib/science Filename: pool/contrib/m/matlab/matlab_0.0.6_all.deb Size: 10376 SHA256: 1b43276116a33fd39fbd9b0a00c660b53d573afa76871b1ce050532e932ba817 SHA1: 0f7757e0b1ca23459834c38d3aa8da1a32e96652 MD5sum: 5b6e960ef29a4ab031393196adf18344 Description: integrate local Matlab installations into the Debian system This package does NOT provide Matlab (TM). It merely helps sysadmins integrate local installations in the Debian system to handle this proprietary software in a more coherent way. Moreover, this package can be used as a runtime dependency for packages that install Matlab code and, for example, need to compile MEX extensions. . One or more Matlab installations can be registered with Debian's alternatives system, and a helper utility to build MEX extensions is provided. All configuration is conveniently done via debconf. Package: matlab-gdf Source: libgdf Version: 0.1.0~svn31-1~nd+1 Architecture: all Maintainer: NeuroDebian Maintainers Installed-Size: 204 Depends: libgdf-dev (>= 0.1.0~svn31-1~nd+1) Recommends: matlab Homepage: http://sourceforge.net/projects/libgdf Priority: extra Section: contrib/science Filename: pool/contrib/libg/libgdf/matlab-gdf_0.1.0~svn31-1~nd+1_all.deb Size: 19944 SHA256: e4e37fcd2f1763fdf763e0c5f93b896950f07ad9c98c780461ce61e9fb0947a8 SHA1: fe05cf6323118c790bbbb1a711faffab42cb847e MD5sum: 032871370cedc286f3c5077f90244e94 Description: IO library for the GDF -- Matlab interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package builds Matlab bindings for GDF at installation time. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: matlab-spm8 Source: spm8 Version: 8.4010~dfsg.1-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 468 Depends: matlab, spm8-common (= 8.4010~dfsg.1-2), make Provides: spm, spm8 Priority: extra Section: contrib/science Filename: pool/contrib/s/spm8/matlab-spm8_8.4010~dfsg.1-2_all.deb Size: 76790 SHA256: 8091a86588eaebfd64dd2bcec22dbdf9c1a82e0cdf22f4a5f334afe23a488009 SHA1: c175e17a5b48a4a746d9a55638290bf7b4dde74f MD5sum: 6d488684eea24fec5bb8a65b6ad436f8 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 obtain and installed separately.