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This article is cited in 34 scientific papers (total in 34 papers)
Relaxation self-oscillations in Hopfield networks with delay
S. D. Glyzina, A. Yu. Kolesova, N. Kh. Rozovb a P. G. Demidov Yaroslavl State University
b M. V. Lomonosov Moscow State University
Abstract:
We consider two singularly perturbed non-linear systems
of differential-difference equations with delay; one of them is
a mathematical model of a single Hopfield neuron and the other simulates the
functioning of a circular network of three or more neurons connected
unidirectionally. We study the problems of existence, asymptotic behaviour,
and stability for these systems of relaxation periodic motions.
Keywords:
differential-difference equations, Hopfield neuron networks, relaxation cycle,
stability, buffer property.
Received: 06.02.2012 Revised: 20.04.2012
Citation:
S. D. Glyzin, A. Yu. Kolesov, N. Kh. Rozov, “Relaxation self-oscillations in Hopfield networks with delay”, Izv. RAN. Ser. Mat., 77:2 (2013), 53–96; Izv. Math., 77:2 (2013), 271–312
Linking options:
https://www.mathnet.ru/eng/im7960https://doi.org/10.1070/IM2013v077n02ABEH002636 https://www.mathnet.ru/eng/im/v77/i2/p53
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Abstract page: | 774 | Russian version PDF: | 197 | English version PDF: | 15 | References: | 97 | First page: | 43 |
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