Graph-based inter-subject pattern analysis of fmri data

HIGHLIGHTS

  • who: Sylvain Takerkart and collaborators from the Université, CNRS, Marseille, France, Parietal Team, INRIA Saclay, Ile-de-France, Saclay, France have published the paper: Graph-Based Inter-Subject Pattern Analysis of fMRI Data, in the Journal: PLOS ONE | www.plosone.org of August/15,/2014
  • what: The contribution is twofold: first the authors propose an unsupervised representation learning scheme that encodes all relevant characteristics of distributed fMRI patterns into attributed graphs; second the authors introduce a custom-designed graph kernel that exploits all these characteristics and makes it possible to perform supervised learning (here classification . . .

     

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