Institute of Physics, Saratov State University, 83 Astrakhanskaya Street, Saratov 410012, Russia.
Almetyevsk State Petroleum Institute, 2 Lenina Street, Almetyevsk 423458, Tatarstan, Russia.
Chaos. 2023 Jul 1;33(7). doi: 10.1063/5.0147883.
We study numerically effects of time delay in networks of delay-coupled excitable FitzHugh-Nagumo systems with dissipation. Generation of periodic self-sustained oscillations and its threshold are analyzed depending on the dissipation of a single neuron, the delay time, and random initial conditions. The peculiarities of spatiotemporal dynamics of time-delayed bidirectional ring-structured FitzHugh-Nagumo neuronal systems are investigated in cases of local and nonlocal coupling topology between the nodes, and a first-order nonequilibrium phase transition to synchrony is established. It is shown that the emergence of an oscillatory activity in delay-coupled FitzHugh-Nagumo neurons is observed for smaller values of the coupling strength as the dissipation parameter decreases. This can provide the possibility of controlling the spatiotemporal behavior of the considered neuronal networks. The observed effects are quantified by plotting distributions of the maximal Lyapunov exponent and the global order parameter in terms of delay and coupling strength.
我们研究了具有耗散的时滞耦合激发 FitzHugh-Nagumo 系统网络中时滞的影响。根据单个神经元的耗散、延迟时间和随机初始条件,分析了周期性自维持振荡的产生及其阈值。研究了局部和非局部节点间耦合拓扑结构情况下,具有时滞双向环形结构 FitzHugh-Nagumo 神经元系统的时空动力学特性,并建立了到同步的一级非平衡相变。结果表明,随着耗散参数的减小,耦合强度较小的情况下,延迟耦合 FitzHugh-Nagumo 神经元中会出现振荡活动。这为控制所考虑的神经元网络的时空行为提供了可能性。通过绘制最大 Lyapunov 指数和全局序参量随延迟和耦合强度的分布,对观察到的效应进行了量化。