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Bifurcations in Discrete-Time Delayed Hopfield Neural Networks of Two Neurons

机译:离散时滞两个神经元的Hopfield神经网络中的分叉

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This paper is devoted to the bifurcation analysis of a two-dimensional discrete-time delayed Hopfield-type neural network. In the most general framework considered so far in the known literature, the stability domain of the null solution and the bifurcations occurring at its boundary are described in terms of two characteristic parameters. By applying the center manifold theorem and the normal form theory, the direction and stability of the existing bifurcations are analyzed.
机译:本文致力于二维离散时滞Hopfield型神经网络的分叉分析。在迄今为止已知文献中所考虑的最通用的框架中,用两个特征参数来描述零解的稳定性域和在其边界处发生的分叉。通过应用中心流形定理和法则形式理论,分析了现有分岔的方向和稳定性。

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