Package: fsl Version: 5.0.9-2~nd15.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 39 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~nd15.10+1_all.deb Size: 21470 SHA256: 2b028f70623fdd56ffe2871d48ae58f5edda09b706cb564d029872d588d19ba7 SHA1: f2847613b92c3058ccf2ff698804f435f66b883b MD5sum: 8e0e1688588405a933c1b8936efdb2f7 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~nd15.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 35 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~nd15.10+1_all.deb Size: 20138 SHA256: 93cf43719d8cd8b0fb7d54632de7feb6a5efa40140e0e1173ec40296fb63bf4b SHA1: e7cd82e4da2d838bb9d4dfd66622ca91feef5c12 MD5sum: 2986008c805a19293019cff33a50f056 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-core Source: fsl Version: 5.0.9-2~nd15.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 43 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~nd15.10+1_all.deb Size: 21322 SHA256: bd8ad02f576cefa72a4d4082777bee582e910a2b54470b0afb064f9d1be97ac5 SHA1: c3318a5dd1fa606cfd616770b3f0a3c3a565b5b0 MD5sum: 0f3e02bb9f1a03f8770e5dc571f6f29d 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: 3.0.16.20200326-1~ndall+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19 Depends: matlab-psychtoolbox-3-nonfree (= 3.0.16.20200326-1~ndall+1), psychtoolbox-3-common (>= 3.0.16.20200326-1~ndall+1.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_3.0.16.20200326-1~ndall+1_all.deb Size: 4572 SHA256: f4c6df6d5bb5461d2eddc143d58e9a46a32830c10b9dd2206f47776157416ff6 SHA1: ca383e2ba419baf875cb2d8a94ad648716c23397 MD5sum: 365366139ebe2189b321db75812bf78a 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: virtual-mri-nonfree Source: vmri-nonfree Version: 3.2.14-1~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3036 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~nd12.10+1+nd13.04+1+nd13.10+1+nd14.04+1+nd14.10+1+nd15.04+1+nd15.10+1_all.deb Size: 1771430 SHA256: 65757a87fecc31901e43fe249f2dfd0564e9b3d3f17ded288af214d9d619a24e SHA1: 174ce9efaa98ca8c4d5b161a5a3324f188e97b9e MD5sum: b053c31d4cdc85bc5beae1e4cdfedaa7 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.