Stability and Hopf bifurcation analysis of a complex-valued Wilson–Cowan neural network with time delay

Conghuan Ji, Yuanhua Qiao, Jun Miao and Lijuan Duan

Chaos, Solitons & Fractals, 2018, vol. 115, issue C, 45-61

Abstract: Stability and Hopf bifurcation of a class of delayed complex-valued neural networks are investigated in this paper. First, using proper translations and coordinate transformations, we decompose the activation functions and connection weights into their real and imaginary parts, so as to construct an equivalent real-valued system. Then, the sufficient conditions for Hopf bifurcation and its directions are provided through normal form theory and central manifold theorem. In the end, some numerical simulations are given to illustrate the correctness of the results.

Keywords: Complex-valued neural network; Time delay; Hopf bifurcation; Stability (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:115:y:2018:i:c:p:45-61

DOI: 10.1016/j.chaos.2018.04.022

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