A multi-modal, multi-variate pattern analysis (MVPA) toolbox in Matlab / GNU Octave for cognitive neuroscientists.
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.
CoSMoMVPA was presented at NMSM 2019, Noesselt’s lab 3rd Modelling Symposium, University of Magdeburg, 22–26 July 2019. Thanks to the organizers and attendees!
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.