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      The metastable brain.

      1 , 2
      Neuron
      Elsevier BV

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          Abstract

          Neural ensembles oscillate across a broad range of frequencies and are transiently coupled or "bound" together when people attend to a stimulus, perceive, think, and act. This is a dynamic, self-assembling process, with parts of the brain engaging and disengaging in time. But how is it done? The theory of Coordination Dynamics proposes a mechanism called metastability, a subtle blend of integration and segregation. Tendencies for brain regions to express their individual autonomy and specialized functions (segregation, modularity) coexist with tendencies to couple and coordinate globally for multiple functions (integration). Although metastability has garnered increasing attention, it has yet to be demonstrated and treated within a fully spatiotemporal perspective. Here, we illustrate metastability in continuous neural and behavioral recordings, and we discuss theory and experiments at multiple scales, suggesting that metastable dynamics underlie the real-time coordination necessary for the brain's dynamic cognitive, behavioral, and social functions.

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          Author and article information

          Journal
          Neuron
          Neuron
          Elsevier BV
          1097-4199
          0896-6273
          Jan 08 2014
          : 81
          : 1
          Affiliations
          [1 ] The Human Brain and Behavior Laboratory, Center for Complex Systems and Brain Sciences, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA. Electronic address: tognoli@ccs.fau.edu.
          [2 ] The Human Brain and Behavior Laboratory, Center for Complex Systems and Brain Sciences, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA; Intelligent Systems Research Centre, University of Ulster, Magee Campus, Northland Road, Derry BT48 7JL, Northern Ireland, UK. Electronic address: kelso@ccs.fau.edu.
          Article
          S0896-6273(13)01183-5 NIHMS551854
          10.1016/j.neuron.2013.12.022
          3997258
          24411730
          893749ca-e0fa-4477-b34a-c3884c0009cb
          Copyright © 2014 Elsevier Inc. All rights reserved.
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