电磁感应下延迟耦合热敏神经元的快慢动态行为

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Yansu Ji, Xiaochen Mao
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引用次数: 0

摘要

本文研究了电磁感应下具有延迟化学突触的热敏神经元网络的动力学。分析了网络的稳定性和不同的分岔。探讨了大量有趣的猝发振荡,如点-点猝发、周期-周期猝发、点-周期猝发和周期-点猝发振荡。时间延迟在系统动力学中起着重要作用,包括尖峰状态的振幅和亚临界霍普夫分岔的延迟时间间隔。平均哈密顿能量被用来估计神经元之间的同步行为,如间歇同步。随着化学突触强度的变化,可观察到不同步行为、间歇同步和完全同步状态。讨论了电磁感应诱导的外部刺激反馈强度增益和温度系数对同步动力学的影响。在指数函数电路、时延电路和传递函数电路的基础上,构建了网络的电路平台。电路响应与所得结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast and slow dynamical behaviors of delayed-coupled thermosensitive neurons under electromagnetic induction
This paper studies the dynamics of a thermosensitive neuronal network with delayed chemical synapses under electromagnetic induction. The stability and different bifurcations of the network are analyzed. Abundant and interesting bursting oscillations are explored, such as point–point bursting, cycle–cycle bursting, point-cycle bursting and cycle-point bursting oscillations. Time delay plays important roles in the system dynamics, including the amplitude of the spiking state and the delay interval of the subcritical Hopf bifurcation. The average Hamiltonian energy is considered to estimate the synchronized behaviors between neurons, such as intermittent synchronization. As the strength of the chemical synapses varies, asynchronous behaviors, intermittently synchronized and fully synchronized states are observed. The influences of the feedback strength gain of external stimuli induced by electromagnetic induction and temperature coefficient on the synchronized dynamics are discussed. Based on the exponential function circuit, time delay circuit and transfer function circuit, the circuit platform of the network is constructed. The responses of the circuit reach an agreement with the obtained results.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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