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Pis'ma v Zhurnal Èksperimental'noi i Teoreticheskoi Fiziki, 2012, Volume 95, Issue 9, Pages 557–561 (Mi jetpl2553)  

This article is cited in 1 scientific paper (total in 1 paper)

BIOPHYSICS

Reducing the sequential dynamics of excitatory neural networks to cellular automata

V. I. Nekorkina, A. S. Dmitricheva, D. V. Kasatkina, V. S. Afraimovichb

a Institute of Applied Physics, Russian Academy of Sciences, Nizhnii Novgorod
b Instituto de Investigacion en Comunicacion Optica, Universidad Autonoma de San Luis Potosi, Mexico
Full-text PDF (379 kB) Citations (1)
References:
Abstract: An approach is developed for the description and analysis of sequential dynamics of excitatory neural networks. It is based on the reduction of dynamics of networks to the dynamics of cellular automata on the graph of connections. We apply our approach to network of Hodgkin–Huxley neurons coupled by chemical synapses.
Received: 16.01.2012
Revised: 21.03.2012
English version:
Journal of Experimental and Theoretical Physics Letters, 2012, Volume 95, Issue 9, Pages 492–496
DOI: https://doi.org/10.1134/S0021364012090093
Bibliographic databases:
Document Type: Article
Language: English
Citation: V. I. Nekorkin, A. S. Dmitrichev, D. V. Kasatkin, V. S. Afraimovich, “Reducing the sequential dynamics of excitatory neural networks to cellular automata”, Pis'ma v Zh. Èksper. Teoret. Fiz., 95:9 (2012), 557–561; JETP Letters, 95:9 (2012), 492–496
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/jetpl/v95/i9/p557
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Письма в Журнал экспериментальной и теоретической физики Pis'ma v Zhurnal Иksperimental'noi i Teoreticheskoi Fiziki
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