Dynamic random links enhance diversity-induced coherence in strongly coupled neuronal systems

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• 作者：NEERAJ KUMAR KAMAL (1) (2)
  SUDESHNA SINHA (3)
  
  1. Institute of Mathematical Sciences ; CIT Campus ; Tharamani ; Chennai ; 600 113 ; India
  2. Department of Physics ; Central University of Rajasthan ; Ajmer ; 305 801 ; India
  3. Indian Institute of Science Education and Research (IISER) Mohali ; Knowledge City ; SAS Nagar ; Sector 81 ; Manauli ; 140 306 ; India
  
• 关键词：Diversity ; coherence resonance. ; 05.40 ; 87.17.Aa ; 05.45.Xt
• 刊名：Pramana
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：84
• 期：2
• 页码：249-256
• 全文大小：291 KB
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• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Physics
  Astronomy
  Astrophysics
  
• 出版者：Springer India
• ISSN：0973-7111

文摘

We investigate the influence of diversity on the temporal regularity of spiking in a ring of coupled model neurons. We find diversity-induced coherence in the spike events, with an optimal amount of parametric heterogeneity at the nodal level yielding the greatest regularity in the spike train. Further, we investigate the system under random spatial connections, where the links are both dynamic and quenched, and in all the cases we observe marked diversity-induced coherence. We quantitatively find the effect of coupling strength and random rewiring probability, on the optimal coherence that can be achieved under diversity. Our results indicate that the largest coherence in the spike events emerge when the coupling strength is high, and when the underlying connections are mostly random and dynamically changing.