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Proceedings Paper

Computational dynamics and synchronization in nonequilibrium networks consisting of interacting multistable elements
Author(s): Vladimir Chinarov; Tamas Gergely
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Paper Abstract

A neural network model that may give phase synchronization of activity patterns in ensembles with different types of complexity is described and simulated. This model is used to study the dynamic behavior of coupled phase oscillators with cosine interaction between them. Different schemes of the network architecture such as mean-field and nearest-neighbor interaction, symmetric and asymmetric types of coupling among elements are provided to deal with the processes of synchronization patterns formation. Dynamic pattern formation related to neural oscillations, patterns of phase an anti- phase synchronization of activities of elements within clusters remote from one another as well as clustering of different attractors are studied.

Paper Details

Date Published: 25 March 1998
PDF: 8 pages
Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); doi: 10.1117/12.304850
Show Author Affiliations
Vladimir Chinarov, SRC Vidhuk (Ukraine)
Tamas Gergely, Applied Logic Lab. (Hungary)


Published in SPIE Proceedings Vol. 3390:
Applications and Science of Computational Intelligence
Steven K. Rogers; David B. Fogel; James C. Bezdek; Bruno Bosacchi, Editor(s)

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