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  • 标题:Stabilizing synchrony by inhomogeneity
  • 本地全文:下载
  • 作者:Ehsan Bolhasani ; Alireza Valizadeh
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2015
  • 卷号:5
  • 期号:1
  • DOI:10.1038/srep13854
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:We show that for two weakly coupled identical neuronal oscillators with strictly positive phase resetting curve, isochronous synchrony can only be seen in the absence of noise and an arbitrarily weak noise can destroy entrainment and generate intermittent phase slips. Small inhomogeneity–mismatch in the intrinsic firing rate of the neurons–can stabilize the phase locking and lead to more precise relative spike timing of the two neurons. The results can explain how for a class of neuronal models, including leaky integrate-fire model, inhomogeneity can increase correlation of spike trains when the neurons are synaptically connected.
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