同步(交流)
成对比较
节点(物理)
计算机科学
同步网络
复杂网络
订单(交换)
理论计算机科学
拓扑(电路)
数学
计算机网络
人工智能
物理
组合数学
频道(广播)
万维网
经济
量子力学
财务
作者
Simin Mirzaei,Mahtab Mehrabbeik,Karthikeyan Rajagopal,Sajad Jafari,Guanrong Chen
出处
期刊:Chaos
[American Institute of Physics]
日期:2022-12-01
卷期号:32 (12)
被引量:10
摘要
In neuronal network analysis on, for example, synchronization, it has been observed that the influence of interactions between pairwise nodes is essential. This paper further reveals that there exist higher-order interactions among multi-node simplicial complexes. Using a neuronal network of Rulkov maps, the impact of such higher-order interactions on network synchronization is simulated and analyzed. The results show that multi-node interactions can considerably enhance the Rulkov network synchronization, better than pairwise interactions, for involving more and more neurons in the network.
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