Royal Holloway University of London CoSMoMVPA workshop

presented by Nick Oosterhof, supported by Raffaele Tucciarelli and Giacomo Ariani, Feburary 2016.

hosted by Angelika Lingnau

History of exercises:

• 2019 NMSM 2019, Noesselt’s lab 3rd Modelling Symposium, University of Magdeburg.

• 2017 LABMAN 2017, the second Latin American Brain Mapping Network Meeting.

• 2016 PRNI 2016, the 6th International Workshop on Pattern Recognition in Neuroimaging workshop.

• 2016 CIMeC 2016 Hands-on Methods.

• 2016 Royal Holloway University of London CoSMoMVPA workshop.

• 2014 CIMeC 2014 Advanced Neural Decoding.

• 2013 2013 Summer School in Computational Sensory-Motor Neuroscience.

Contents

• Introduction
  • Prerequisites
  • Goals of this course
  • Sample Dataset
  • To cover in this workshop
  • Tentative schedule
• Exercises
  • Dataset basics
  • Split-half correlation-based MVPA with group analysis
  • Classification analysis
  • Classification analysis with cross-validation
  • Using CoSMoMVPA measures
  • Using CoSMoMVPA neighborhoods for regions of interest
  • Use the searchlight with a neighborhood and a measure
  • Representational similarity analysis
  • Using CoSMoMVPA multiple-comparison correction

• CoSMoMVPA functions
• CoSMoMVPA functions - header signature files
• CoSMoMVPA functions - skeleton files
• Runnable examples
• Runnable examples - skeleton files

Matlab outputs: matlab_pb_toc

Miscellaneous

• CoSMoMVPA unit tests
• Demonstrations

Indices and tables

• Index

• CoSMoMVPA functions

• Search Page