title: Can quantum probability help analyze the behavior of functional brain networks?
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.
authors.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, USA. Arpan.Banerjee@nih.gov
authors.forename: Arpan
authors.initials: A
authors.lastname: Banerjee
authors.forename: Barry
authors.initials: B
authors.lastname: Horwitz
mesh_terms: D003071:Cognition; D006801:Humans; D008960:Models, Psychological; D011338:Probability Theory; D011789:Quantum Theory