supported by the National Natural Science Foundation of China (No. 12175080)； the Fundamental Research Funds for the Central Universities,China (No. CCNU22JC009)；
机构署名：
本校为第一且通讯机构
院系归属：
物理科学与技术学院
生命科学学院
摘要：
Time delay and coupling strength are important factors that affect the synchronization of neural networks. In this study, a modular neural network containing subnetworks of different scales was constructed using the Hodgkin-Huxley (HH) neural model; i.e., a small-scale random network was unidirectionally connected to a large-scale small-world network through chemical synapses. Time delays were found to induce multiple synchronization transitions in the network. An increase in coupling strength also promoted synchronization of the network when the time delay was an integer multiple of the firin...
