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Effects of channel blocks on the spiking regularity in clustered neuronal networks 被引量:11

Effects of channel blocks on the spiking regularity in clustered neuronal networks
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摘要 In this paper,we discuss the influences of channel blocks on the spiking regularity in a clustered neuronal network by applying stochastic Hodgkin-Huxley neuronal models as the building blocks.With the aid of simulation results,we reveal that the spiking regularity of the clustered neuronal network could be resonantly enhanced via fine-tuning of the non-blocked potassium channel fraction xK.While the non-blocked sodium channel fraction xNa can enhance the spiking regularity of the clustered neuronal network in most cases.These results indicate that not only sodium channel blocks but also potassium channel blocks could have great influences on the regularity of spike timings in the clustered neuronal networks.Considering the importance of spike timings in neuronal information transforming processes,our results may give some implications for understanding the nonnegligible role of randomness in ion channels in neuronal systems.
机构地区 School of Science
出处 《Science China(Technological Sciences)》 SCIE EI CAS 2014年第5期879-884,共6页 中国科学(技术科学英文版)
基金 supported by the National Natural Science Foundation of China(Grant Nos.11102094 11272065) the Fundamental Research Funds for the Central University of China(Grant No.2013RC0904)
关键词 channel blocks spiking regularity clustered neuronal networks 神经网络 集群网络 钾通道 神经元模型 神经元网络 共振增强 转化过程 神经系统
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