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.
News¶
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.
Analysis gallery¶
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Changes since last month¶
Acknowledgements¶
- Carolyn McGettigan
All changes¶
commit 0d8c02bf393e343977455e2ec4f3a077e0e70809 Author: Nikolaas N. Oosterhof <n.n.oosterhof@googlemail.com> Date: Fri Apr 26 12:01:10 2024 +0200 DOC: include GIFTI toolbox COPYING | 2 +- mvpa/cosmo_check_external.m | 4 ++-- mvpa/cosmo_surface_dataset.m | 10 +++++++--- 3 files changed, 10 insertions(+), 6 deletions(-) commit e4b892e03e50c4d4f91a5cfdd5773a1ac20508e3 Author: Nikolaas N. Oosterhof <n.n.oosterhof@googlemail.com> Date: Mon Apr 22 18:06:01 2024 +0200 DOC+ACK: describe the (arguably counterinuitive) sign of two classes test in cosmo_stat in more detail. Thanks to #Carolyn McGettigan# for a useful question mvpa/cosmo_stat.m | 21 +++++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-)
