Literature DB >> 26723163

Transition from double coherence resonances to single coherence resonance in a neuronal network with phase noise.

Yanbing Jia1, Huaguang Gu1.   

Abstract

The effect of phase noise on the coherence dynamics of a neuronal network composed of FitzHugh-Nagumo (FHN) neurons is investigated. Phase noise can induce dissimilar coherence resonance (CR) effects for different coupling strength regimes. When the coupling strength is small, phase noise can induce double CRs. One corresponds to the average frequency of phase noise, and the other corresponds to the intrinsic firing frequency of the FHN neuron. When the coupling strength is large enough, phase noise can only induce single CR, and the CR corresponds to the intrinsic firing frequency of the FHN neuron. The results show a transition from double CRs to single CR with the increase in the coupling strength. The transition can be well interpreted based on the dynamics of a single neuron stimulated by both phase noise and the coupling current. When the coupling strength is small, the coupling current is weak, and phase noise mainly determines the dynamics of the neuron. Moreover, the phase-noise-induced double CRs in the neuronal network are similar to the phase-noise-induced double CRs in an isolated FHN neuron. When the coupling strength is large enough, the coupling current is strong and plays a key role in the occurrence of the single CR in the network. The results provide a novel phenomenon and may have important implications in understanding the dynamics of neuronal networks.

Entities:  

Year:  2015        PMID: 26723163     DOI: 10.1063/1.4938733

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  2 in total

1.  Impact of Bounded Noise and Rewiring on the Formation and Instability of Spiral Waves in a Small-World Network of Hodgkin-Huxley Neurons.

Authors:  Yuangen Yao; Haiyou Deng; Chengzhang Ma; Ming Yi; Jun Ma
Journal:  PLoS One       Date:  2017-01-27       Impact factor: 3.240

2.  Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise.

Authors:  Feibiao Zhan; Shenquan Liu
Journal:  Front Comput Neurosci       Date:  2017-11-21       Impact factor: 2.380

  2 in total

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