A Markov random field approach to neural encoding and decoding

Authors:
Marcel A. J. Van Gerven;Eric Maris;Tom Heskes
Affiliations:
Donders Institute for Brain, Cognition and Behaviour and Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands;Donders Institute for Brain, Cognition and Behaviour;Donders Institute for Brain, Cognition and Behaviour and Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands
Venue:
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Year:
2011

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Abstract

We introduce a new approach to neural encoding and decoding which makes use of sparse regression and Markov random fields. We show that interesting response functions were estimated from neuroimaging data acquired while a subject was watching checkerboard patterns and geometrical figures. Furthermore, we demonstrate that reconstructions of the original stimuli can be generated by loopy belief propagation in a Markov random field.