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Computational specificity in the human brain

Published online by Cambridge University Press:  30 June 2016

James M. Shine ,
Ian Eisenberg  and
Russell A. Poldrack
James M. Shine
Affiliation:
School of Psychology, Stanford University, Stanford, CA 94305. macshine@stanford.eduianeisenberg90@gmail.compoldrack@stanford.eduhttps://poldracklab.stanford.edu/
Ian Eisenberg
Affiliation:
School of Psychology, Stanford University, Stanford, CA 94305. macshine@stanford.eduianeisenberg90@gmail.compoldrack@stanford.eduhttps://poldracklab.stanford.edu/
Russell A. Poldrack
Affiliation:
School of Psychology, Stanford University, Stanford, CA 94305. macshine@stanford.eduianeisenberg90@gmail.compoldrack@stanford.eduhttps://poldracklab.stanford.edu/
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Abstract

Although meta-analytic neuroimaging studies demonstrate a relative lack of specificity in the brain, this evidence may be the result of limits inherent to these types of studies. From this perspective, we review recent findings that suggest that brain function is most appropriately categorized according to the computational capacity of each brain system, rather than the specific task states that elicit its activity.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 39 , 2016 , e131
Copyright
Copyright © Cambridge University Press 2016 

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