.. # For CoSMoMVPA's license terms and conditions, see # # the COPYING file distributed with CoSMoMVPA # .. _`get started`: =========== Get Started =========== .. toctree:: :maxdepth: 1 :titlesonly: 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 :ref:`here ` for instructions to get you environment ready. - optionally the tutorial data, available :ref:`here ` (to run the :ref:`exercises `). - optionally some external toolboxes for AFNI, BrainVoyager, and/or FieldTrip file support; see :ref:`here `. - an :ref:`advanced beginner level ` of experience in Matlab programming. - an :ref:`advanced beginner level ` of fMRI or MEEG data analysis. - a basic understanding of :ref:`MVPA concepts `. - familiarity with :ref:`CoSMoMVPA concepts `, in particular the :ref:`cosmomvpa_dataset`, :ref:`cosmomvpa_targets`, :ref:`cosmomvpa_chunks`, :ref:`cosmomvpa_dataset_operations`, :ref:`cosmomvpa_classifier`, :ref:`cosmomvpa_neighborhood`, and :ref:`cosmomvpa_measure` concepts. Consider the :ref:`demos ` 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 :ref:`here ` for instructions. For the impatient: .. include:: quick_download.txt ^^^^^^^^^^ Next steps ^^^^^^^^^^ Once you are ready: - run the :ref:`demos `. - look at the :ref:`runnable examples ` and the associated `Matlab outputs`_. - try the :ref:`exercises `. - explore the :ref:`CoSMoMVPA functions `. Some examples of analyses that can be run with CoSMoMVPA_: .. include:: _static/demo_gallery.txt .. include:: links.txt .. _Matlab outputs: _static/publish/index.html