Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population

Authors:
Xiaodan Zhang;Rubin Wang;Zhikang Zhang;Jingyi Qu;Jianting Cao;Xianfa Jiao
Affiliations:
Institute for Cognitive Neurodynamics, School of Information Science & Engineering, Department of Mathematics, School of Science, East China University of Science and Technology, Shanghai 200237, ...;Institute for Cognitive Neurodynamics, School of Information Science & Engineering, Department of Mathematics, School of Science, East China University of Science and Technology, Shanghai 200237, ...;Institute for Cognitive Neurodynamics, School of Information Science & Engineering, Department of Mathematics, School of Science, East China University of Science and Technology, Shanghai 200237, ...;Institute for Cognitive Neurodynamics, School of Information Science & Engineering, Department of Mathematics, School of Science, East China University of Science and Technology, Shanghai 200237, ...;Institute for Cognitive Neurodynamics, School of Information Science & Engineering, Department of Mathematics, School of Science, East China University of Science and Technology, Shanghai 200237, ...;Department of Mathematics, Hefei University of Technology, Hefei 230009, China
Venue:
Neurocomputing
Year:
2010

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Abstract

Under the premise of analysis on the dynamic characteristics of the transmission mechanism among the synapses, this paper has modified the coupling term in the Tass's stochastic evolution model of neuronal oscillator population, introduced the variable higher-order coupling term. Then, we have performed the numerical simulation on the modified model. The simulation result shows that the variable coupling mechanism can induce the transition between different cluster states of the neuronal oscillator population, without the external stimulation. Another result from the numerical simulation is that, in the transient process between two different synchronization states caused by the variable coupling mechanism, it is allowed to have a full desynchronization state for a period. However, after the period of desynchronization state, the neuronal oscillator population can still reenter a new synchronization state under the action of the coupling term with the order different from initial condition.