Package: fsl Version: 5.0.9-2~nd80+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 55 Depends: fsl-core Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/oldlibs Filename: pool/non-free/f/fsl/fsl_5.0.9-2~nd80+1_all.deb Size: 21524 SHA256: 871631095f1cbac3257ed9fe721fb9deee5c4e8eaab00ca1d2f04b8264c8d6e2 SHA1: c250d2d28dacb68e1c6ffef7055b8d1d6a4139ef MD5sum: 87eb7630809f575f44d5640d5dc1b99f Description: transitional dummy package The only purpose of this package is to enable upgrades to the new 'fsl-core' package which replaces 'fsl'. This package can safely be removed. . Users aiming to perform a complete FSL installation (including all data components) are advised to install the 'fsl-complete' package from NeuroDebian. Package: fsl-5.0 Source: fsl Version: 5.0.9-2~nd80+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 52 Depends: fsl-5.0-core Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/oldlibs Filename: pool/non-free/f/fsl/fsl-5.0_5.0.9-2~nd80+1_all.deb Size: 20188 SHA256: f16b63958ea9851e799c7cda23482fc14b026a7e2086c0a14f4f16ce3c45a62e SHA1: 39677bf90b384d9bdd0f89b963a95f41f294e8aa MD5sum: 8fa38b0082341d4071f894f940a5ce58 Description: transitional dummy package The only purpose of this package is to enable upgrades to the new 'fsl-5.0-core' package which replaces 'fsl-5.0'. This package can safely be removed. . Users aiming to perform a complete FSL 5.0 installation (including all data components) are advised to install the 'fsl-5.0-complete' package from NeuroDebian. Package: fsl-5.0-core Source: fsl Version: 5.0.9-2~nd80+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 39667 Depends: mozilla-firefox | www-browser, tcsh | c-shell, tk, tcl, bc, dc, python, fslview, libjs-excanvas, libc6 (>= 2.11), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.1.1), libgd3 (>= 2.1.0~alpha~), libgdchart-gd2-noxpm | libgdchart-gd2-xpm, libgiftiio0, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libnewmat10ldbl, libnifti2, libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.9), zlib1g (>= 1:1.1.4) Recommends: fsl-atlases, fsl-5.0-eddy-nonfree Suggests: fsl-feeds, fsl-5.0-gpu, octave, mriconvert | dicomnifti, fsl-complete, condor | gridengine-client Conflicts: fsl-doc-4.1 (<< 4.1.9-5~), fsl-fslview Breaks: fsl-5.0 (<< 5.0.3) Replaces: fsl-5.0 (<< 5.0.3) Provides: fsl Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl/fsl-5.0-core_5.0.9-2~nd80+1_i386.deb Size: 7969072 SHA256: 56f9f01edb4157a6529796741f3ea40ab0de24b6b9ab647a71ff7ebdf2d18e54 SHA1: b9fab2546248547014cf2459dc817301c5c6e930 MD5sum: 933f09025cb1f6bdfc089febc1e88a43 Description: analysis tools for FMRI, MRI and DTI brain imaging 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. . Some FSL components require additional data packages (fsl-atlases, fsl-first-data, fsl-possum-data) that are currently available from the NeuroDebian repository only. For more information on how to obtain these data packages visit http://neuro.debian.net. . Users aiming to perform a complete FSL 5.0 installation (including all data components) are advised to install the 'fsl-5.0-complete' package from NeuroDebian. . FSL interoperates well with other brain imaging related software. This includes Caret, FreeSurfer (cortical flattening and modelling). All FSL tools support the NIfTI format. Package: fsl-5.0-eddy-nonfree Source: fsl-eddy-nonfree Version: 5.0.9-1~nd80+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 841 Depends: neurodebian-popularity-contest, fsl-5.0-core (>= 5.0.9-1~), libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libstdc++6 (>= 4.9) Conflicts: fsl-5.0-core (<< 5.0.9) Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl-eddy-nonfree/fsl-5.0-eddy-nonfree_5.0.9-1~nd80+1_i386.deb Size: 282682 SHA256: c0b0083ef40eac4f012edfeab0cfa65d7b0c5c6ad8184c922d3901de1bba55bb SHA1: e226ebf3b17a9fc9a3f26ace3bf69ac6088836ed MD5sum: 7012d18054de7937a567299f6b352fca Description: correcting eddy currents and movements in diffusion data This package provide the 'eddy' component of the FSL MRI data analysis suite. Since FSL 5.0.9 eddy is no longer included in the main fsl package, because its sources are no longer publicly available. Package: fsl-core Source: fsl Version: 5.0.9-2~nd80+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 70 Depends: fsl-5.0-core Breaks: fsl (<< 5.0.3) Replaces: fsl (<< 5.0.3) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl/fsl-core_5.0.9-2~nd80+1_all.deb Size: 21454 SHA256: f8eb0501fe4808ad7995dfc9b86e8e173ec5bfd7b0976f9eac79992f0a46c168 SHA1: 0f9392ce45a1fd83febfa8ca76aabb08194db439 MD5sum: ace7038bb500669cbb1c8945adfe1dff Description: metapackage for the latest version of FSL 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. . Some FSL components require additional data packages (fsl-atlases, fsl-first-data, fsl-possum-data) that are currently available from the NeuroDebian repository only. For more information on how to obtain these data packages visit http://neuro.debian.net. . Users aiming to perform a complete FSL installation (including all data components) are advised to install the 'fsl-complete' package from NeuroDebian. Package: matlab-psychtoolbox-3 Source: psychtoolbox-3-nonfree Version: 3.0.12.20160126-1~ndall Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19 Depends: matlab-psychtoolbox-3-nonfree (= 3.0.12.20160126-1~ndall), psychtoolbox-3-common (>= 3.0.12.20160126-1~ndall.dfsg) Recommends: matlab-support Homepage: http://psychtoolbox.org Priority: extra Section: non-free/science Filename: pool/non-free/p/psychtoolbox-3-nonfree/matlab-psychtoolbox-3_3.0.12.20160126-1~ndall_all.deb Size: 3916 SHA256: 189a09a3232c83ad88edea52aa21737701aa1e69d2ccf328e6fe049c41123113 SHA1: aa3e414292fa89ac0f104824965dbebc6868a6af MD5sum: ebdeaa7e6f7cc4f4b02e078718e3d7b8 Description: toolbox for vision research -- Matlab bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package exposes PTB-3 within Matlab environment. It also provides a convenience script ptb3-matlab to simplify running psychtoolbox in matlab. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . For now it relies on -nonfree package providing binary builds of all PTB-3 bindings for Matlab. Package: matlab-psychtoolbox-3-nonfree Source: psychtoolbox-3-nonfree Version: 3.0.11.20140816-1~nd+1 Architecture: i386 Maintainer: NeuroDebian Maintainers Installed-Size: 4153 Depends: neurodebian-popularity-contest, psychtoolbox-3-lib (>= 3.0.11.20140816-1~nd+1.dfsg), psychtoolbox-3-common (>= 3.0.11.20140816-1~nd+1.dfsg), libx11-6, libxext6, libxfixes3, libxi6, freeglut3, libglew1.9, libgl1-mesa-glx, libxmu6, libxpm4 Recommends: libasound2, libdc1394-22, libfreenect0.1, libglib2.0-0, libglu1-mesa, libgstreamer-plugins-base0.10-0, libgstreamer0.10-0, libopenal1, libpciaccess0, libusb-1.0-0 (>= 2:1.0.9~), libxml2, libxrandr2, libxxf86vm1 Homepage: http://psychtoolbox.org Priority: extra Section: non-free/science Filename: pool/non-free/p/psychtoolbox-3-nonfree/matlab-psychtoolbox-3-nonfree_3.0.11.20140816-1~nd+1_i386.deb Size: 921102 SHA256: d699f0b39adcd1ef59e2b8595f1223acc2617dc393b3143ede0fee3f170f5a64 SHA1: 9d8b3c9fdade3c2bdb00fffdb3f5aecfc0dab568 MD5sum: 600581dc1e3bae7077161ae6a3e4eeab Description: toolbox for vision research -- Matlab binary blobs Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains binary builds for Datapixx and Eyelink bindings for Matlab built/supported/distributed by upstream. Package: octave-psychtoolbox-3-nonfree Source: psychtoolbox-3-nonfree Version: 3.0.12.20160126-1~ndall Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 1548 Depends: octave-psychtoolbox-3 (>= 3.0.12.20160126-1~ndall.dfsg), psychtoolbox-3-common (>= 3.0.12.20160126-1~ndall.dfsg) Homepage: http://psychtoolbox.org Priority: extra Section: non-free/science Filename: pool/non-free/p/psychtoolbox-3-nonfree/octave-psychtoolbox-3-nonfree_3.0.12.20160126-1~ndall_i386.deb Size: 395734 SHA256: e5f5fb2450f063de9a5d427e7a692dd0e895fb667f86f80dc14bb6897b9835ef SHA1: c0bcd248b548d100a49e34dfc24dbed480b2912e MD5sum: 0cd920595da9660a52c6830ef93b1b0c Description: toolbox for vision research -- Octave binary blobs Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains binary builds for Datapixx and Eyelink bindings for Octave built/supported/distributed by upstream. Package: virtual-mri-nonfree Source: vmri-nonfree Version: 3.2.14-1~nd70+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3063 Depends: neurodebian-popularity-contest, openjdk-7-jre | java-runtime Homepage: http://www.iftm.de/elearning/vmri/idx_vmri.htm Priority: extra Section: non-free/science Filename: pool/non-free/v/vmri-nonfree/virtual-mri-nonfree_3.2.14-1~nd70+1_all.deb Size: 2051872 SHA256: c9772d066da29f69860ae42cbca9805917dbeb520fb1f7614c49531e47dc66d0 SHA1: 3533625c940936aec15a317cdaaa12adb9e00082 MD5sum: 9ffed1c52f0c7bba4c04bdb549847ed1 Description: Virtual Magnetic Resonance Imager A realistic simulation of magnetic reasonance imaging that allows for exploring the most relevant parameters of a scanner to aid training of students and doctors. . At the moment the pulse sequence classes SR, IR, SE, TSE, FLASH and FISP are implemented. Parameters, like TR, TE, TI, flip-angle or echo train length, can be adjusted. The choice of matrix size, FOV, slice-thickness and number of acquisitions affect the signal-to-noise ratio of the images. In a first step, the simulation calculates the signal intensity in the k-space. Aliasing- and motion-artifacts are simulated by modifying the k-space data. In a last step, a 2D-fouriertransform of the k-space data is performed. Window and center of the resulting images can be changed.