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Uspekhi Fizicheskikh Nauk, 2002, Volume 172, Number 10, Pages 1189–1214
DOI: https://doi.org/10.3367/UFNr.0172.200210d.1189
(Mi ufn2065)
 

This article is cited in 76 scientific papers (total in 78 papers)

REVIEWS OF TOPICAL PROBLEMS

Models of neural dynamics in brain information processing — the developments of 'the decade'

G. N. Borisyuka, R. M. Borisyuka, Ya. B. Kazanovicha, G. R. Ivanitskiib

a Institute of Mathematical Problems of Biology RAS, Pushchino, Moskovskaya obl.
b Institute for Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow region
References:
Abstract: Neural network models are discussed that have been developed during the last decade with the purpose of reproducing spatio-temporal patterns of neural activity in different brain structures. The main goal of the modeling was to test hypotheses of synchronization, temporal and phase relations in brain information processing. The models being considered are those of temporal structure of spike sequences, of neural activity dynamics, and oscillatory models of attention and feature integration.
Received: November 13, 2001
English version:
Physics–Uspekhi, 2002, Volume 45, Issue 10, Pages 1073–1095
DOI: https://doi.org/10.1070/PU2002v045n10ABEH001143
Bibliographic databases:
Document Type: Article
PACS: 87.18.Su, 87.19.Dd, 87.19.La
Language: Russian


Citation: G. N. Borisyuk, R. M. Borisyuk, Ya. B. Kazanovich, G. R. Ivanitskii, “Models of neural dynamics in brain information processing — the developments of 'the decade'”, UFN, 172:10 (2002), 1189–1214; Phys. Usp., 45:10 (2002), 1073–1095
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  • This publication is cited in the following 78 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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