一类时滞惯性双神经元系统Hopf分岔的研究

Qun Liu, X. Liao, Guoyin Wang, Yuehua Wu
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引用次数: 15

摘要

惯性可以被认为是一种有用的工具,它可以帮助神经系统产生混沌。所以它可以加到标准的Hopfield方程中。本文研究了时滞对双惯性神经元系统的影响,发现当时滞超过一个临界值时,惯性双神经元系统的平衡位置变得不稳定,并可能出现Hopf分岔。利用时滞泛函微分方程理论,以时滞为分岔参数,研究了Hopf分岔问题,得到了Hopf分岔发生的充分必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research for Hopf bifurcation of an inertial two-neuron system with time delay
The inertia can be considered a useful tool that is added to help in the generation of chaos in neural systems. So it can be added to the standard Hopfield equation. This paper is concerned with a study of the influence of a time delay occurring in a two-inertial neuron system .It is found that as the time delay increases beyond a critical value, the equilibrium position of the inertial two-neuron system becomes unstable and may have Hopf bifurcation. Using the time delay as a bifurcation parameter, Hopf bifurcation is studied by using theory of retarded functional differential equations, then necessary and sufficient conditions for Hopf bifurcation to occur are derived.
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