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Robust synchronization of bursting Hodgkin-Huxley neuronal systems coupled by delayed chemical synapses  ( EI收录)  

文献类型:期刊文献

英文题名:Robust synchronization of bursting Hodgkin-Huxley neuronal systems coupled by delayed chemical synapses

作者:Han, Fang[1]; Wang, Zhijie[1]; Du, Ying[2]; Sun, Xiaojuan[3]; Zhang, Bin[4,5]

机构:[1] College of Information Science and Technology, Donghua University, Shanghai 201620, PR China; [2] Institute for Cognitive Neurodynamics, School of Science, East China University of Science and Technology, Shanghai 200237, PR China; [3] School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, PR China; [4] ShangHai Marine Diesel Engine Research Institute, Shanghai 200090, PR China; [5] School of Automotive Studies, Tongji University, Shanghai 201804, PR China

年份:2014

外文期刊名:International Journal of Non-Linear Mechanics

收录:EI(收录号:20145000309423)

语种:英文

外文关键词:Neurons - Neural networks

摘要:Synchronized firing of bursting neurons has been found in many real neural systems. In this paper, a modified bursting Hodgkin-Huxley neuronal model is proposed and used to construct neuronal systems with heterogeneous neurons coupled by delayed chemical synapses, then synchronization of the systems is studied in various conditions. First, synchronization for a two-neuron system is explored. It is found that if the synapse is excitatory, the two neurons could achieve burst synchronization easily. If the synapse is inhibitory, they can achieve anti-phase burst synchronization, which is robust to variation of systematic parameters. Second, robust synchronization for a globally coupled neuronal network is investigated. It is found that the robustness of the synchronization is sensitive to the parameter values of synaptic conductance and synaptic delay, but is less sensitive to the parameter values of synaptic decay time. It is also found that the oscillation frequency of the whole network is sensitive to the parameter values of synaptic delay and synaptic decay time, but is less sensitive to the parameter value of synaptic conductance. ? 2014 Elsevier Ltd.

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