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Uspekhi Fizicheskikh Nauk, 1996, Volume 166, Number 4, Pages 363–390
DOI: https://doi.org/10.3367/UFNr.0166.199604b.0363
(Mi ufn1174)
 

This article is cited in 198 scientific papers (total in 198 papers)

REVIEWS OF TOPICAL PROBLEMS

Synchronisation in neural networks

H. D. Abarbanela, M. I. Rabinovichb, A. Selverstona, M. V. Bazhenovb, R. Huertaa, M. M. Sushchikb, L. L. Rubchinskiib

a University of California, Santa Barbara, Department of Physics
b Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod
Abstract: The construction of a dynamical theory of neural networks has been a goal of physicists, mathematicians and biologists for many years now. Experimental breakthroughs in modern neurobiology have allowed researchers to approach this goal. Significant advances have been made for small neural networks, which are generators of the rhythmic activities of living organisms. The subject of the present review is the problem of synchronisation, one of the major aspects of the dynamical theory. It is shown that synchronisation plays a key role in the activity of both minimal neural networks (neural pair) and neural assemblies with a large number of elements (cortex).
Received: March 1, 1996
English version:
Physics–Uspekhi, 1996, Volume 39, Issue 4, Pages 337–362
DOI: https://doi.org/10.1070/PU1996v039n04ABEH000141
Bibliographic databases:
Document Type: Article
PACS: 87.10.+e
Language: Russian


Citation: H. D. Abarbanel, M. I. Rabinovich, A. Selverston, M. V. Bazhenov, R. Huerta, M. M. Sushchik, L. L. Rubchinskii, “Synchronisation in neural networks”, UFN, 166:4 (1996), 363–390; Phys. Usp., 39:4 (1996), 337–362
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  • This publication is cited in the following 198 articles:
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