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BIFURCATION IN A TWO-DIMENSIONAL NEURAL NETWORK MODEL WITH DELAY

机译:时滞二维神经网络模型的分叉

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摘要

A kind of 2-dimensional neural network model with delay is considered. By analyzing the distribution of the roots of the characteristic equation associated with the model, a bifurcation diagram was drawn in an appropriate parameter plane. It is found that a line is a pitchfork bifurcation curve. Further more, the stability of each fixed point and existence of Hopf bifurcation were obtained. Finally, the direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions were determined by using the normal form method and centre manifold theory.
机译:考虑一种具有时延的二维神经网络模型。通过分析与模型关联的特征方程的根的分布,在适当的参数平面上绘制了分叉图。发现一条线是干草叉的分叉曲线。此外,获得了每个固定点的稳定性和Hopf分叉的存在。最后,利用范式和中心流形理论确定了Hopf分支的方向和分支周期解的稳定性。

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