多稳态
干草叉分叉
分叉
数学
惯性参考系
分叉理论的生物学应用
生物神经元模型
倍周期分岔
霍普夫分叉
理论(学习稳定性)
混乱的
控制理论(社会学)
统计物理学
数学分析
人工神经网络
物理
计算机科学
非线性系统
经典力学
人工智能
控制(管理)
机器学习
量子力学
作者
Zigen Song,Jian Xu,Bin Zhen
标识
DOI:10.1142/s0218127415300402
摘要
In this paper, an inertial two-neuron system with multiple delays is analyzed to exhibit the effect of time delays on system dynamics. The parameter region with multiple equilibria is obtained employing the pitchfork bifurcation of trivial equilibrium. The stability analysis illustrates that two nontrivial equilibria are both stable for any delays. It implies that the neural system exhibits a stability coexistence of two resting states. Further, due to the existence of multiple delays, the neural system has a periodic activity around the trivial equilibrium via Hopf bifurcation. Finally, numerical simulations are employed to illustrate many richness coexistence for multitype activity patterns. Employing the period-adding route and fold bifurcation of periodic orbit, the neural system may have multistability coexistence of two resting states, two ASP-3s (anti-symmetric periodic activity with period three), one SSP-1 (self-symmetric periodic activity with period one), and one quasi-periodic spiking. Additionally, with increasing delay, quasi-periodic spiking evolves into chaos behavior.
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