fMRI analysis via one-class machine learning techniques

  • Authors:
  • David R. Hardoon;Larry M. Manevitz

  • Affiliations:
  • University of Southampton, ECS, ISIS Research Group, Southampton, UK;University of Haifa, Department of Computer Science, Haifa, Israel

  • Venue:
  • IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
  • Year:
  • 2005

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Abstract

We show how one-class compression Neural Networks and one-class SVM can be applied to fMRI data to learn the classification of brain activity associated with a specific motor activity. For comparison purposes, we use two labeled data and see what degree of classification ability is lost compared with the usual two-class SVM.