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Stability and chaos of Rulkov map-based neuron network with electrical synapse

机译:带电突触的基于Rulkov映射的神经元网络的稳定性和混沌

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摘要

In this paper, stability and chaos of a simple system consisting of two identical Rulkov map-based neurons with the bidirectional electrical synapse are investigated in detail. On the one hand, as a function of control parameters and electrical coupling strengthes, the conditions for stability of fixed points of this system are obtained by using the qualitative analysis. On the other hand, chaos in the sense of Marotto is proved by a strict mathematical way. These results could be useful for building-up large-scale neurons networks with specific dynamics and rich biophysical phenomena.
机译:在本文中,详细研究了由两个相同的基于Rulkov映射的神经元与双向电突触组成的简单系统的稳定性和混沌性。一方面,根据控制参数和电耦合强度,通过定性分析获得该系统固定点的稳定性条件。另一方面,通过严格的数学方法证明了Marotto方面的混乱。这些结果对于建立具有特定动力学和丰富生物物理现象的大规模神经元网络可能是有用的。

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