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Yan, X.P. (2006) Hopf Bifurcation and Stability for a Delayed Tri-Neuron Network Model. Journal of Computational & Applied Mathematics, 196, 579-595.
https://doi.org/10.1016/j.cam.2005.10.012

has been cited by the following article:

• TITLE: Parametric Stabilization of the Ring and Linear Neural Network with Two Delays

  AUTHORS: Dongxia Zhao, Dongxia Fan, Yaping Guo

  KEYWORDS: Neural Network, Time Delay, Exponential Polynomial, Linear and Ring Neural Configuration, Stability

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.9 No.7, July 13, 2021

  ABSTRACT: This paper is devoted to the problem of stabilizing a Hopfield-type neural network with bi-directional ring architecture and two delays. The delay-independent and delay-dependent stability conditions are explicitly presented by the method of the characteristic roots and the skill of mathematical analysis. Moreover, if a link between the adjacent two neurons is cut, the ring neural network turns to a linear one, and the stability results are also established. Furthermore, a comparative analysis for the ring and linear network shows that the stability domain is enlarged after the breaking.