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A multi-modal, multi-variate pattern analysis (MVPA) toolbox in Matlab / GNU Octave for cognitive neuroscientists.

CoSMoMVPA

  • State-of-the art, yet simple to use MVPA implementations.
  • Runs on the Matlab and GNU Octave platform, on MS Windows, OSX, and GNU/Linux.
  • Handles fMRI volumetric, fMRI surface-based, and MEEG data through a uniform data structure.
  • Support for a wide range of data formats.
  • Searchlights in the volume, on the surface, over sensors, time bins, and frequency bands.
  • Multiple-comparison correction using Threshold-Free Cluster Enhancement Monte Carlo simulations.
  • Extensive documentation, including a variety of runnable scripts and implementation exercises (with solutions).
  • Is Free/Open Source Software (MIT License), see http://github.com/CoSMoMVPA/CoSMoMVPA.
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News

  • our CoSMoMVPA manuscript has been published ([OCH16]): Oosterhof, N. N., Connolly, A. C., and Haxby, J. V. (2016). CoSMoMVPA: multi-modal multivariate pattern analysis of neuroimaging data in Matlab / GNU Octave. Frontiers in Neuroinformatics, doi:10.3389/fninf.2016.00027.

Changes since last month

All changes

commit 4c305d4315e3ebd31132d19cfca5640d5ee14e2b
Merge: 0d33068 9640143
Author: Nikolaas N. Oosterhof <nikolaas.oosterhof@unitn.it>
Date:   Tue Jun 5 07:23:01 2018 +0200

    Merge branch '_enh/custom_nproc_query_func' of
        https://github.com/nno/CoSMoMVPA into
        _enh/custom_nproc_query_func