Title
Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population
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.
Year
DOI
Venue
2010
10.1016/j.neucom.2010.05.001
Neurocomputing
Keywords
Field
DocType
desynchronization state,full desynchronization,cluster state,synchronization,new synchronization state,different synchronization,neuronal oscillator population,variable higher-order coupling term,full desynchronization state,variable higher-order coupling,variable high-order,different cluster state,dynamic phase synchronization characteristic,coupling term,numerical simulation,variable coupling mechanism,oscillations,phase synchronization,higher order,initial condition
Population,Synchronization,Oscillation,Coupling,Computer simulation,Control theory,Phase synchronization,Cluster state,Initial value problem,Mathematics
Journal
Volume
Issue
ISSN
73
13-15
Neurocomputing
Citations 
PageRank 
References 
3
0.56
12
Authors
6
Name
Order
Citations
PageRank
Xiaodan Zhang140.93
Rubin Wang214125.54
Zhikang Zhang36611.91
Jingyi Qu4254.96
Jianting Cao519434.47
Xianfa Jiao6314.96