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Get Started

download matlab_experience cogneuro_experience mvpa_concepts cosmomvpa_concepts

Prerequisites

Using CoSMoMVPA effectively requires:

  • a working installation of Matlab or Octave.
  • the CoSMoMVPA source code, available from GitHub; see here <download> for instructions to get you environment ready.
  • optionally the tutorial data, available here <download> (to run the exercises <ex_toc>).
  • optionally some external toolboxes for AFNI, BrainVoyager, and/or FieldTrip file support; see here <download>.
  • an advanced beginner level <matlab_experience> of experience in Matlab programming.
  • an advanced beginner level <cogneuro_experience> of fMRI or MEEG data analysis.
  • a basic understanding of MVPA concepts <mvpa_concepts>.
  • familiarity with CoSMoMVPA concepts <cosmomvpa_concepts>, in particular the cosmomvpa_dataset, cosmomvpa_targets, cosmomvpa_chunks, cosmomvpa_dataset_operations, cosmomvpa_classifier, cosmomvpa_neighborhood, and cosmomvpa_measure concepts.

Consider the demos <contents_demo.rst> to see how MVPA can be performed using CoSMoMVPA.

Get your environment ready

To get started, you need the CoSMoMVPA code and optionally the tutorial data; see here <download> for instructions. For the impatient:

Next steps

Once you are ready:

  • run the demos <contents_demo.rst>.
  • look at the runnable examples <matindex_run> and the associated Matlab outputs.
  • try the exercises <ex_toc>.
  • explore the CoSMoMVPA functions <matindex>.

Some examples of analyses that can be run with CoSMoMVPA: