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Hopf bifurcation and stability for a neural network model with mixed delays

机译:具有混合时滞的神经网络模型的Hopf分支和稳定性

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摘要

A generalized model of the two-neuron network with mixed delays is studied. The main purpose of this paper is to explore the linear stability of the trivial solution and Hopf bifurcation of a two-neuron network with continuous and discrete delays. The general formula of the direction, the estimation formula of period and stability of bifurcated periodic solutions are also studied. Finally, the numerical simulations are given to illustrate the theoretical analysis.
机译:研究了具有混合时滞的二元神经网络的广义模型。本文的主要目的是探讨具有连续和离散延迟的两个神经元网络的平凡解的线性稳定性和Hopf分支。研究了方向的一般公式,周期的估计公式和分支周期解的稳定性。最后,通过数值模拟说明了理论分析。

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