Phase-response synchronization in neuronal population

作     者：JIAO XianFa ZHU DanFeng 

作者机构：School of Mathematics Hefei University of Technology 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2014年第57卷第5期

页      面：923-928页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.11232005 11172086) 

主　　题：neuronal population phase response curve synaptic input external periodic stimulus 

摘      要：In this study,we have formulated the phase description of the neuronal oscillator with non-instantaneous synaptic inputs and external periodic stimulus by using the phase sensitivity *** numerical simulation,we have found that the phase of a neuronal oscillator undergoes periodic evolution or locked state,which is determined by the synaptic time *** synaptic time constant is also an important condition under which the global network is *** the synaptic time constant is relatively small,perfectly synchronized behavior quickly occurs in the neuronal *** the synaptic time constant becomes slightly larger,periodic synchronization emerges in the neuronal ***,synchronized activity in the neuronal population is lost for larger synaptic time *** external periodic stimulus can change the synchronization patterns in the neuronal *** a weak low-frequency stimulus,the neuronal populations quick synchronized bursting;whereas a high-frequency stimulus can produce synchronized overlapping *** have also found that neuronal oscillators with type-II phase response curves are more susceptible to synchronization than those with type-I phase response curves.