Bursting synchronization in clustered neuronal networks

作     者：于海涛 王江 邓斌 魏熙乐 

作者机构：School of Electrical Engineering and Automation Tianjin University 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2013年第22卷第1期

页      面：556-562页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 07[理学] 08[工学] 070104[理学-应用数学] 0836[工学-生物工程] 0701[理学-数学] 

基　　金：Project supported by the National Natural Science Foundation of China (Grant Nos. 61072012, 61104032, and 61172009) the Natural Science Foundation of Tianjin Municipality, China (Grant No. 12JCZDJC21100) the Young Scientists Fund of the National Natural Science Foundation of China (GrantNos. 60901035 and 50907044) 

主　　题：bursting synchronization neuronal network cluster external signal 

摘      要：Neuronal networks in the brain exhibit the modular （clustered） property, i.e., they are composed of certain subnetworks with differential internal and external connectivity. We investigate bursting synchronization in a clustered neuronal network. A transition to mutual-phase synchronization takes place on the bursting time scale of coupled neurons, while on the spiking time scale, they behave asynchronously. This synchronization transition can be induced by the variations of inter- and intra coupling strengths, as well as the probability of random links between different subnetworks. Considering that some pathological conditions are related with the synchronization of bursting neurons in the brain, we analyze the control of bursting synchronization by using a time-periodic external signal in the clustered neuronal network, Simulation results show a frequency locking tongue in the driving parameter plane, where bursting synchronization is maintained, even in the presence of external driving. Hence, effective synchronization suppression can be realized with the driving parameters outside the frequency locking region.