Bug#600714: ITP: nitime -- timeseries analysis for neuroscience data

2010-10-19 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: nitime
  Version : 0.1.0
  Upstream Author : Nipy Developers 
* URL : http://nipy.org/nitime
* License : BSD
  Programming Lang: Python
  Description : timeseries analysis for neuroscience data

Nitime is a Python module for time-series analysis of data from neuroscience
experiments.  It contains a core of numerical algorithms for time-series
analysis both in the time and spectral domains, a set of container objects to
represent time-series, and auxiliary objects that expose a high level interface
to the numerical machinery and make common analysis tasks easy to express with
compact and semantically clear code.



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Bug#601707: ITP: libgdf -- IO library for the GDF (general dataformat for biosignals)

2010-10-28 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: libgdf
  Version : 0.1
  Upstream Author : Martin Billinger
* URL : http://sourceforge.net/projects/libgdf
* License : LGPL
  Programming Lang: C++
  Description : IO library for the GDF (general dataformat for biosignals)

  GDF (General Dataformat for Biosignals) is intended to provide a generic
  storage for biosignals, such as EEG, ECG, MEG etc.



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Bug#602246: ITP: brian -- simulator for spiking neural networks

2010-11-02 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: brian
  Version : 1.2.1
  Upstream Author : Romain Brette, Dan Goodman
* URL : http://www.briansimulator.org/
* License : CeCILL
  Programming Lang: Python
  Description : simulator for spiking neural networks

Brian is a clock-driven simulator for spiking neural networks.
.
More to come ;)



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Bug#604159: ITP: pynn -- simulator-independent specification of neuronal network models

2010-11-20 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: pynn
  Version : 0.6
  Upstream Author : The NeuralEnsemble Community 
* URL : http://neuralensemble.org/trac/PyNN
* License : CeCILL-2
  Programming Lang: Python
  Description : simulator-independent specification of neuronal network 
models

PyNN allows to code for a model once and run it without modification
on any simulator that PyNN supports (currently NEURON, NEST, PCSIM
and Brian).  PyNN translates standard cell-model names and parameter
names into simulator-specific names.



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Bug#604161: ITP: mpi4py -- bindings of the Message Passing Interface (MPI) standard

2010-11-20 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: mpi4py
  Version : 1.2.2
  Upstream Author : Lisandro Dalcin 
* URL : http://mpi4py.googlecode.com/
* License : BSD-2
  Programming Lang: Python, C, Pyrex
  Description : bindings of the Message Passing Interface (MPI) standard

MPI for Python (mpi4py) provides bindings of the Message Passing Interface
(MPI) standard for the Python programming language, allowing any Python program
to exploit multiple processors.
.
This package is constructed on top of the MPI-1/MPI-2 specification and
provides an object oriented interface which closely follows MPI-2 C++ bindings.
It supports point-to-point (sends, receives) and collective (broadcasts,
scatters, gathers) communications of any picklable Python object as well as
optimized communications of Python object exposing the single-segment buffer
interface (NumPy arrays, builtin bytes/string/array objects). 
.
Packaging mpi4py as a prerequisite for PyNN (ITP #604159).
Also, a copy of mpi4py (1.0.0) seems to be a part of paraview.



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Bug#605414: ITP: pcsim -- simulator of heterogeneous networks of neurons and synapses

2010-11-29 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: pcsim
  Version : 0.5.4
  Upstream Author : Thomas Natschläger
* URL : http://www.lsm.tugraz.at/pcsim/
* License : GPL-3+
  Programming Lang: C, Python
  Description : simulator of heterogeneous networks of neurons and synapses
 PCSIM is a tool for simulating heterogeneous networks composed of
 different model neurons and synapses. This simulator is written in
 C++ with a primary interface to the programming language Python. It
 is intended to simulate networks containing up to millions of neurons
 and on the order of billions of synapses. This is achieved by
 distributing the network over different nodes of a computing cluster
 by using MPI.



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Bug#605739: ITP: eeglab -- toolbox for processing and visualization of electrophysiological data

2010-12-02 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: eeglab
  Version : 9
  Upstream Author : Arnaud Delorme , Scott Makeig 

* URL : http://sccn.ucsd.edu/eeglab
* License : GPL-2+
  Programming Lang: C, Matlab/Octave
  Description : toolbox for processing and visualization of 
electrophysiological data
 EEGLAB is an interactive Matlab toolbox for processing continuous and
 event-related EEG, MEG and other electrophysiological data
 incorporating independent component analysis (ICA), time/frequency
 analysis, artifact rejection, event-related statistics, and several
 useful modes of visualization of the averaged and single-trial data.



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Bug#607213: ITP: pyxid -- interfacing with Cedrus XID and StimTracker devices

2010-12-15 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: pyxid
  Version : 1.0~b6
  Upstream Author : Grant Limberg 
* URL : https://github.com/cedrus-opensource/pyxid
* License : BSD-3
  Programming Lang: Python
  Description : interfacing with Cedrus XID and StimTracker devices
 pyxid is a Python library for interfacing with Cedrus XID (eXperiment
 Interface Device) and StimTracker devices. XID devices are used in
 software such as SuperLab, Presentation, and ePrime for receiving
 input as part of stimulus/response testing experiments.
 .
 pyxid handles all of the low level device handling for XID devices in
 python projects.



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Bug#609820: ITP: pyxnat -- interface to access neuroimaging data on XNAT servers

2011-01-12 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: pyxnat
  Version : 0.6.2
  Upstream Author : Yannick Schwartz 
* URL : http://packages.python.org/pyxnat
* License : BSD
  Programming Lang: Python
  Description : interface to access neuroimaging data on XNAT servers
 XNAT is an extensible database for neuroimaging data.  pyxnat is a
 Python library that relies on the REST API provided by the XNAT
 platform since its 1.4 version. The main objective of pyxnat is to
 ease communications with an XNAT server to plug-in external tools or
 python scripts to process the data. pyxnet features:
 .
  - resources browsing capabilities
  - read and write access to resources
  - complex searches
  - disk-caching of requested files and resources



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Bug#610347: ITP: dipy -- toolbox for analysis of MR diffusion imaging data

2011-01-17 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: dipy
  Version : 0.5.0~dev
  Upstream Author : Dipy Developers 
* URL : http://nipy.org/dipy
* License : BSD
  Programming Lang: Python
  Description : toolbox for analysis of MR diffusion imaging
 Dipy is a toolbox for the analysis of diffusion magnetic resonance
 imaging data. It features:
  - Reconstruction algorithms, e.g. GQI, DTI
  - Tractography generation algorithms, e.g. EuDX
  - Intelligent downsampling of tracks
  - Ultra fast tractography clustering
  - Resampling datasets with anisotropic voxels to isotropic
  - Visualizing multiple brains simultaneously
  - Finding track correspondence between different brains
  - Warping tractographies into another space, e.g. MNI space
  - Reading many different file formats, e.g. Trackvis or NIfTI
  - Dealing with huge tractographies without memory restrictions
  - Playing with datasets interactively without storing



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Bug#612375: ITP: stimfit -- view and analyze electrophysiological data

2011-02-07 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: stimfit
  Version : 0.10.7
  Upstream Author : Christoph Schmidt-Hieber 
* URL : http://code.google.com/p/stimfit/
* License : GPL-2
  Programming Lang: C, Python
  Description : view and analyze electrophysiological data
 Stimfit is a free, fast and simple program for viewing and analyzing
 electrophysiological data.  It features an embedded Python shell that
 allows you to extend the program functionality by using numerical
 libraries such as NumPy and SciPy.
 .
 It includes stfio module which supports some electrophysiological
 file formats:
  - Read/write: CFS binary data, HDF5 files, Axon text files,
ASCII files
  - Read-only: Axon binary files (*.abf), Axograph files (*.axgd,
*.axgx), HEKA files (*.dat, from version 0.10)
* Write-only: Igor binary waves (*.ibw)



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Bug#757279: ITP: neurodebian -- integrated software platform for neuroscience research

2014-08-06 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 

* Package name: neurodebian
  Version : 0.33
  Upstream Author : NeuroDebian Team 
* URL : http://neuro.debian.net
* License : GPL
  Programming Lang: Bash, Python, etc
  Description : integrated software platform for neuroscience research

NeuroDebian aims to make Debian the ideal platform for research in
neuroscience.  NeuroDebian team participates in Debian pure blends
(e.g. Debian Med and Science) and maintenance teams (e.g. Debian Python
Modules) to enhance stock Debian distribution.  Besides that it provides
backport builds of relevant software for all supported Debian and Ubuntu
releases from the project's website.
.
This source package contains the sources of the project's website, and
delivers binary packages with development tools and user-systems
customizations (e.g. artwork, popcon submissions settings, etc).


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Bug#687726: ITP: spykeutils -- utilities for analyzing electrophysiological data

2012-09-15 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 

* Package name: spykeutils
  Version : 0.1.0
  Upstream Author : Robert Pröpper 
* URL : https://github.com/rproepp/spykeutils
* License : MIT/X
  Programming Lang: Python
  Description : utilities for analyzing electrophysiological data
 spykeutils is a Python library for analyzing and plotting data from
 neurophysiological recordings. It can be used by itself or in
 conjunction with Spyke Viewer, a multi-platform GUI application for
 navigating electrophysiological datasets.


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Bug#626225: ITP: cmtk -- The Computational Morphometry Toolkit

2011-05-09 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 

* Package name: cmtk
  Version : 1.7.0
  Upstream Author : Torsten Rohlfing 
* URL : http://www.nitrc.org/projects/cmtk/
* License : GPL-3+
  Programming Lang: C++
  Description : The Computational Morphometry Toolkit

  A software toolkit for computational morphometry of biomedical
  images, CMTK comprises a set of command line tools and a back-end
  general-purpose library for processing and I/O.
  .
  The command line tools primarily provide the following
  functionality: registration (affine and nonrigid; single and
  multi-channel; pairwise and groupwise), image correction (MR bias
  field estimation; interleaved image artifact correction), processing
  (filters; combination of segmentations via voting and STAPLE;
  shape-based averaging), statistics (t-tests; general linear
  regression).



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Bug#627262: ITP: klustakwik -- spike sorting tool

2011-05-18 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 

* Package name: klustakwik
  Version : 2.0.1
  Upstream Author : Ken Harris (har...@axon.rutgers.edu)
* URL : http://sourceforge.net/projects/klustakwik/
* License : GPL-2+
  Programming Lang: C/C++
  Description : automatic sorting of the samples (spikes) into clusters

 KlustaKwik is a program for automatic clustering of continuous data
 into a mixture of Gaussians. The program was originally developed for
 sorting of neuronal action potentials, but can be applied to any sort
 of data.



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Bug#628183: ITP: freesurfer -- analysis and visualization of functional brain imaging data

2011-05-27 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: freesurfer
  Version : 5.1.0
  Upstream Author : The General Hospital Corporation (Boston, MA) "MGH"
* URL : http://surfer.nmr.mgh.harvard.edu/
* License : BSD-style FreeSurfer Software License Agreement v1.0
  Programming Lang: C/C++/Python/Perl/...
  Description : analysis and visualization of functional brain imaging data

 FreeSurfer is a set of tools for analysis and visualization of
 structural and functional brain imaging data. It contains a fully
 automatic structural stream for processing cross sectional and
 longitudinal data.
 .
 FreeSurfer provides many anatomical analysis tools, including:
 representation of the cortical surface between white and gray matter,
 representation of the pial surface, segmentation of white matter from
 the rest of the brain, skull stripping, B1 bias field correction,
 nonlinear registration of the cortical surface of an individual with
 an sterotaxic atlas, labeling of regions of the cortical surface,
 statistical analysis of group morphometry differences, and labeling of
 subcortical brain structures, etc.



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Bug#639820: ITP: scikits.image -- image processing toolbox for SciPy

2011-08-30 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 

* Package name: scikits.image
  Version : 0.2.1
  Upstream Author : Stefan van der Walt
* URL : http://scikits-image.org/
* License : BSD
  Programming Lang: Python, Cython
  Description : image processing toolbox for SciPy

scikits.image aims to provide algorithmic building blocks for research in
image processing and computer vision. The package contains code that is well
tested, documented and easily maintainable. We support various computing
backends, such as NumPy and PyOpenCl.



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Bug#641464: ITP: pandas -- data structures for "relational" or "labeled" data

2011-09-13 Thread NeuroDebian Team
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team 


* Package name: pandas
  Version : 0.4.0
  Upstream Author : Wes McKinney 
* URL : http://pandas.sourceforge.net
* License : BSD-3
  Programming Lang: Python, Cython
  Description : data structures for "relational" or "labeled" data

 pandas is a Python package providing fast, flexible, and expressive
 data structures designed to make working with "relational" or
 "labeled" data both easy and intuitive. It aims to be the fundamental
 high-level building block for doing practical, real world data
 analysis in Python. pandas is well suited for many different kinds of
 data:
 .
  - Tabular data with heterogeneously-typed columns, as in an SQL
table or Excel spreadsheet
  - Ordered and unordered (not necessarily fixed-frequency) time
series data.
  - Arbitrary matrix data (homogeneously typed or heterogeneous) with
row and column labels
  - Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas
data structure



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