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Probability Density Of Response Times And Neurophysiology Of Cognition

Author

Listed:
  • Z. LIU

    (Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221-0011, U.S.)

  • J. G. HOLDEN

    (Department of Psychology, CAP Center for Cognition, Action, and Perception, University of Cincinnati, Cincinnati, Ohio 45221-0376, U.S.)

  • R. A. SEROTA

    (Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221-0011, U.S.)

Abstract

We discuss several markers of the probability densities of response times — specifically those with power-law tails — that allow us to gain insights into neurophysiology of cognition. We argue that combining individual subjects’ data into a single set for a distribution-function analysis allows for a better comparison of a group of interest to a control group. We illustrate our findings using time response trials with dyslexic children.

Suggested Citation

  • Z. Liu & J. G. Holden & R. A. Serota, 2016. "Probability Density Of Response Times And Neurophysiology Of Cognition," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(04n05), pages 1-17, June.
    • Handle: RePEc:wsi:acsxxx:v:19:y:2016:i:04n05:n:s0219525916500132
    DOI: 10.1142/S0219525916500132
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    References listed on IDEAS

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    1. Ma, Tao & Serota, R.A., 2014. "A model for stock returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 89-115.
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    Cited by:

    1. Dashti Moghaddam, M. & Mills, Jeffrey & Serota, R.A., 2020. "From a stochastic model of economic exchange to measures of inequality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).

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