同步(交流)
联轴节(管道)
耦合强度
生物神经元模型
理论(学习稳定性)
神经元
物理
订单(交换)
统计物理学
拓扑(电路)
生物系统
计算机科学
神经科学
数学
生物
工程类
财务
组合数学
经济
机械工程
机器学习
凝聚态物理
作者
R. Mohanasubha,Subhasri Devarajan,Suresh Kumarasamy,Karthikeyan Rajagopal
标识
DOI:10.1016/j.amc.2022.127447
摘要
Recent studies have shown that higher-order interactions have a vital role in exploring the collective dynamics of the networks. In particular, the collective behavior of a network of neuron models with many-body interactions has received much attention among researchers in recent times. In this paper, we study the effect of higher-order interactions in the synchronization stability of the network of neuron models, namely Hindmarsh-Rose and Morris-Lecar models, with electromagnetic induction. We consider both two-body and three-body interactions to be diffusive and analyze their effect on the synchronization of the network of neurons. Our analysis shows that higher-order interactions can make the neurons synchrony with the minimal value of first-order coupling strengths in both neuron models. Besides, electromagnetic flux coupling strength also has a significant effect on the synchronization of neurons. In the Hindmarsh-Rose neuron model, the flux coupling demands higher coupling strength in both the first and second-order interactions for the synchronization of neurons. However, the Morris-Lecar neuron model shows a notable distinct effect, where the flux coupling enhances the synchronization of neurons with lesser first and second-order coupling strengths.
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