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Channel noise-induced temporal coherence transitions and synchronization transitions in adaptive neuronal networks with time delay

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  • Yubing Gong

    (School of Physics and Optoelectronic Engineering, Ludong University)

  • Huijuan Xie

    (School of Physics and Optoelectronic Engineering, Ludong University)

Abstract

Using spike-timing-dependent plasticity (STDP), we study the effect of channel noise on temporal coherence and synchronization of adaptive scale-free Hodgkin-Huxley neuronal networks with time delay. It is found that the spiking regularity and spatial synchronization of the neurons intermittently increase and decrease as channel noise intensity is varied, exhibiting transitions of temporal coherence and synchronization. Moreover, this phenomenon depends on time delay, STDP, and network average degree. As time delay increases, the phenomenon is weakened, however, there are optimal STDP and network average degree by which the phenomenon becomes strongest. These results show that channel noise can intermittently enhance the temporal coherence and synchronization of the delayed adaptive neuronal networks. These findings provide a new insight into channel noise for the information processing and transmission in neural systems.

Suggested Citation

  • Yubing Gong & Huijuan Xie, 2017. "Channel noise-induced temporal coherence transitions and synchronization transitions in adaptive neuronal networks with time delay," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(9), pages 1-7, September.
    • Handle: RePEc:spr:eurphb:v:90:y:2017:i:9:d:10.1140_epjb_e2017-80361-7
    DOI: 10.1140/epjb/e2017-80361-7
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    Statistical and Nonlinear Physics;

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