ON SYNCHRONIZATION AND CONTROL OF COUPLED WILSON–COWAN NEURAL OSCILLATORS

Author:

UETA TETSUSHI1,CHEN GUANRONG2

Affiliation:

1. Department of Information Science and Intelligent Systems, Tokushima University, Tokushima, 770-8506, Japan

2. Department of Electrical and Electronic Engineering, City University of Hong Kong, Hong Kong, P.R. China

Abstract

This paper investigates the complex dynamics, synchronization and control of chaos in a system of strongly connected Wilson–Cowan neural oscillators. Some typical synchronized periodic solutions are analyzed by using the Poincaré mapping method, for which bifurcation diagrams are obtained. It is shown that topological change of the synchronization mode is mainly caused and carried out by the Neimark–Sacker bifurcation. Finally, a simple feedback control method is presented for stabilizing an in-phase synchronizing periodic solution embedded in the chaotic attractor of a higher-dimensional model of such coupled neural oscillators.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation,Engineering (miscellaneous)

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1. First‐order periodic coupled systems with generalized impulse conditions;Mathematical Methods in the Applied Sciences;2024-05-21

2. Emergent dynamics in fractional-order Wilson–Cowan neural network systems;Chaos, Solitons & Fractals;2024-04

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4. Raspberry Pi Implementation of The Wilson-Cowan Neural Network With Chemical Synapse;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

5. Beyond global synchrony: equivalence between Kuramoto oscillators and Wilson-Cowan model for large-scale brain networks;18th International Symposium on Medical Information Processing and Analysis;2023-03-06

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