Neural network mechanisms of cognitive flexibility

Authors

  • Anatoliy Terekhin
  • Elena Budilova
  • Mikhail Karpenko
  • Larisa Kachalova
  • Ekaterina Chmykhova

DOI:

https://doi.org/10.54359/ps.v2i6.975

Abstract

Cognitive flexibility of a neural network is defined as the range of smoothness of its Lyapunov function: greater smoothness makes easier finding strategically more effective solutions of problems whereas lesser one is necessary for elaborating details. We use as a model the gradual Hopfield network ensuring the variation of smoothness of the Lyapunov function by changing the activation function smoothness parameter.

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Author Biographies

  • Anatoliy Terekhin
    Terekhin Anatoliy T. Ph.D., Faculty of Biology, Lomonosov Moscow State University, Leninskie Gory, 1, str. 12, 119991 Moscow, Russia. Web-page: http://ecology.genebee.msu.su/3_SOTR/CV_Terekhin.htm Е-mail: terekhin_a@mail.ru
  • Elena Budilova
    Budilova Elena V. Ph.D., Faculty of Biology, Lomonosov Moscow State University, Leninskie Gory, 1, str. 12, 119991 Moscow, Russia. Е-mail: evbudilova@mail.ru
  • Mikhail Karpenko
    Karpenko Mikhail P. Ph.D., Modern University for the Humanities, ul. Nizhegorodskaya, 32, 109029 Moscow, Russia. Е-mail: rectorat@muh.ru
  • Larisa Kachalova
    Kachalova Larisa M. Ph.D., Modern University for the Humanities, ul. Nizhegorodskaya, 32, 109029 Moscow, Russia. Е-mail: lefi@muh.ru
  • Ekaterina Chmykhova
    Chmykhova Ekaterina V. Ph.D., Department of Applied and Experimental Psychology, Modern University for the Humanities, ul. Nizhegorodskaya, 32, 109029 Moscow, Russia. E-mail: niipo@muh.ru

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Published

2009-06-10

Issue

Vol. 2 No. 6 (2009)

Section

Articles

How to Cite

Terekhin, A., Budilova, E., Karpenko, M., Kachalova, L., & Chmykhova, E. (2009). Neural network mechanisms of cognitive flexibility. Psychological Studies, 2(6). https://doi.org/10.54359/ps.v2i6.975