School of Mathematics and Statistics, Yancheng Teachers University, Yancheng 224002, China.
Neural Plast. 2020 Nov 7;2020:8826369. doi: 10.1155/2020/8826369. eCollection 2020.
A model is introduced by coupling two three-dimensional Hindmarsh-Rose models with the help of a nonsmooth memristor. The firing patterns dependent on the external forcing current are explored, which undergo a process from adding-period to chaos. The stability of equilibrium points of the considered model is investigated via qualitative analysis, from which it can be gained that the model has diversity in the number and stability of equilibrium points for different coupling coefficients. The coexistence of multiple firing patterns relative to initial values is revealed, which means that the referred model can appear various firing patterns with the change of the initial value. Multiple firing patterns of the addressed neuron model induced by different scales are uncovered, which suggests that the discussed model has a multiscale effect for the nonzero initial value.
通过借助一个非光滑忆阻器,将两个三维 Hindmarsh-Rose 模型耦合在一起,引入了一个模型。研究了依赖于外部激励电流的点火模式,它们经历了从添加周期到混沌的过程。通过定性分析研究了所考虑模型平衡点的稳定性,可以得出结论,对于不同的耦合系数,模型在平衡点的数量和稳定性方面具有多样性。揭示了相对于初始值共存的多种点火模式,这意味着所提到的模型可以随着初始值的变化而呈现出各种点火模式。揭示了由不同标度引起的所讨论的神经元模型的多种点火模式,这表明所讨论的模型对于非零初始值具有多尺度效应。