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The Phase Transition In Human Cognition

Author

Listed:
  • MICHAEL J. SPIVEY

    (Department of Cognitive Science, University of California, Merced, Merced, CA 95344, USA)

  • SARAH E. ANDERSON

    (Department of Psychology, Cornell University, Ithaca, NY 14853, USA)

  • RICK DALE

    (Department of Psychology, University of Memphis, Memphis, TN 38152, USA)

Abstract

This article attempts to build a bridge between cognitive psychology and computational neuroscience, perhaps allowing each group to understand the other's theoretical insights and sympathize with the other's methodological challenges. In briefly discussing a collection of conceptual demonstrations, neural network and dynamical system simulations, and human experimental results, we highlight the importance of the concept of phase transition to understand cognitive function. Our goal is to show that viewing cognition as a self-organizing process (involving phase transitions, criticality, and autocatalysis) affords a more natural explanation of these data over traditional approaches inspired by a sequence of linear filters (involving detection, recognition, and then response selection).

Suggested Citation

  • Michael J. Spivey & Sarah E. Anderson & Rick Dale, 2009. "The Phase Transition In Human Cognition," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 197-220.
  • Handle: RePEc:wsi:nmncxx:v:05:y:2009:i:01:n:s1793005709001234
    DOI: 10.1142/S1793005709001234
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    Cited by:

    1. Werner, Gerhard, 2013. "Consciousness viewed in the framework of brain phase space dynamics, criticality, and the Renormalization Group," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 3-12.

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