Literature DB >> 23673025

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

Arpan Banerjee1, Barry Horwitz.   

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.

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Year:  2013        PMID： 23673025      PMCID： PMC4578299          DOI： 10.1017/S0140525X12002877

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN： 0140-525X            Impact factor:   12.579


  18 in total

1.  Measures of degeneracy and redundancy in biological networks.

Authors:  G Tononi; O Sporns; G M Edelman
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

Review 2.  Degeneracy and complexity in biological systems.

Authors:  G M Edelman; J A Gally
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-06       Impact factor: 11.205

3.  Degeneracy and cognitive anatomy.

Authors:  Cathy J. Price; Karl J. Friston
Journal:  Trends Cogn Sci       Date:  2002-10-01       Impact factor: 20.229

Review 4.  Modular processes in mind and brain.

Authors:  Saul Sternberg
Journal:  Cogn Neuropsychol       Date:  2011-05       Impact factor: 2.468

5.  Spatiotemporal re-organization of large-scale neural assemblies underlies bimanual coordination.

Authors:  Arpan Banerjee; Emmanuelle Tognoli; J A Scott Kelso; Viktor K Jirsa
Journal:  Neuroimage       Date:  2012-05-25       Impact factor: 6.556

Review 6.  Degenerate neuronal systems sustaining cognitive functions.

Authors:  Uta Noppeney; Karl J Friston; Cathy J Price
Journal:  J Anat       Date:  2004-12       Impact factor: 2.610

7.  Dynamic causal modelling.

Authors:  K J Friston; L Harrison; W Penny
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

8.  Mode level cognitive subtraction (MLCS) quantifies spatiotemporal reorganization in large-scale brain topographies.

Authors:  Arpan Banerjee; Emmanuelle Tognoli; Collins G Assisi; J A Scott Kelso; Viktor K Jirsa
Journal:  Neuroimage       Date:  2008-05-11       Impact factor: 6.556

Review 9.  Complex brain networks: graph theoretical analysis of structural and functional systems.

Authors:  Ed Bullmore; Olaf Sporns
Journal:  Nat Rev Neurosci       Date:  2009-02-04       Impact factor: 34.870

10.  Contexts and catalysts: a resolution of the localization and integration of function in the brain.

Authors:  Anthony Randal McIntosh
Journal:  Neuroinformatics       Date:  2004
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