Using CoSMoMVPA effectively requires:
optionally some external toolboxes for AFNI, BrainVoyager, and/or FieldTrip file support; see here.
an advanced beginner level of experience in Matlab programming.
an advanced beginner level of fMRI or MEEG data analysis.
a basic understanding of MVPA concepts.
Get your environment ready¶
CoSMoMVPA Matlab / Octave code:
Full CoSMOMVPA tutorial data in zip format; used for LABMAN 2017 course and NMSM 2019, Noesselt’s lab 3rd Modelling Symposium, University of Magdeburg.
fMRI AK6 and MEEG obj-6 data (for PRNI 2016 exercises): tutorial data with fMRI AK6 and MEEG obj6 data only
A minimal set of data (only fMRI AK6 data for exercises): tutorial data with AK6 data only
MEEG data (only obj-6 data for exercises): tutorial data with MEEG obj6 data only
Once you are ready:
run the demos.
try the exercises.
explore the CoSMoMVPA functions.
Some examples of analyses that can be run with CoSMoMVPA: