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Can quantum probability help analyze the behavior of functional brain networks?

Published online by Cambridge University Press:  14 May 2013

Arpan Banerjee
Affiliation:
Brain Imaging and Modeling Section, Voice, Speech and Language Branch, National Institute on Deafness and other Communication Disorders, National Institutes of Health, Bethesda, MD 20892-1402. Arpan.Banerjee@nih.govhorwitzb@mail.nih.govhttp://www.nidcd.nih.gov/research/scientists/pages/horwitzb.aspx
Barry Horwitz
Affiliation:
Brain Imaging and Modeling Section, Voice, Speech and Language Branch, National Institute on Deafness and other Communication Disorders, National Institutes of Health, Bethesda, MD 20892-1402. Arpan.Banerjee@nih.govhorwitzb@mail.nih.govhttp://www.nidcd.nih.gov/research/scientists/pages/horwitzb.aspx

Abstract

Pothos & Busemeyer (P&B) argue how key concepts of quantum probability, for example, order/context, interference, superposition, and entanglement, can be used in cognitive modeling. Here, we suggest that these concepts can be extended to analyze neurophysiological measurements of cognitive tasks in humans, especially in functional neuroimaging investigations of large-scale brain networks.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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