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Dynamical analysis of periodic bursting in piece-wise linear planar neuron model

机译:分段线性平面神经元模型中周期性爆发的动力学分析

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摘要

A piece-wise linear planar neuron model, namely, two-dimensional McKean model with periodic drive is investigated in this paper. Periodical bursting phenomenon can be observed in the numerical simulations. By assuming the formal solutions associated with different intervals of this non-autonomous system and introducing the generalized Jacobian matrix at the non-smooth boundaries, the bifurcation mechanism for the bursting solution induced by the slowly varying periodic drive is presented. It is shown that, the discontinuous Hopf bifurcation occurring at the non-smooth boundaries, i.e., the bifurcation taking place at the thresholds of the stimulation, leads the alternation between the rest state and spiking state. That is, different oscillation modes of this non-autonomous system convert periodically due to the non-smoothness of the vector field and the slow variation of the periodic drive as well.
机译:研究了分段线性平面神经元模型,即具有周期性驱动的二维McKean模型。在数值模拟中可以观察到周期性的爆裂现象。通过假设与该非自治系统的不同间隔相关的形式解,并在非光滑边界处引入广义雅可比矩阵,提出了由缓慢变化的周期性驱动引起的爆破解的分叉机制。结果表明,在非光滑边界上发生的不连续霍普夫分叉,即在刺激的阈值处发生的分叉,导致了静止状态和峰值状态之间的交替。也就是说,由于矢量场的非平滑​​性以及周期性驱动器的缓慢变化,该非自治系统的不同振荡模式也会周期性地转换。

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