Dynamical Behavior in a Four-Dimensional Neural Network Model with Delay

Changjin Xu, Peiluan Li
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Abstract

A four-dimensional neural network model with delay is investigated. With the help of the theory of delay differential equation and Hopf bifurcation, the conditions of the equilibrium undergoing Hopf bifurcation are worked out by choosing the delay as parameter. Applying the normal form theory and the center manifold argument, we derive the explicit formulae for determining the properties of the bifurcating periodic solutions. Numerical simulations are performed to illustrate the analytical results.
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具有时滞的四维神经网络模型的动力学行为
研究了一种具有时滞的四维神经网络模型。利用时滞微分方程理论和Hopf分岔理论,以时滞为参数,给出了平衡点发生Hopf分岔的条件。应用范式理论和中心流形论证,导出了确定分岔周期解性质的显式公式。数值模拟验证了分析结果。
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