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JOURNALS // Uspekhi Fizicheskikh Nauk // Archive

UFN, 2002 Volume 172, Number 10, Pages 1189–1214 (Mi ufn2065)

This article is cited in 76 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

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.

PACS: 87.18.Su, 87.19.Dd, 87.19.La

Received: November 13, 2001

DOI: 10.3367/UFNr.0172.200210d.1189


 English version:
Physics–Uspekhi, 2002, 45:10, 1073–1095

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© Steklov Math. Inst. of RAS, 2024