中国物理B ›› 2015, Vol. 24 ›› Issue (11): 118702-118702.doi: 10.1088/1674-1056/24/11/118702

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇    下一篇

Effects of channel noise on synchronization transitions in delayed scale-free network of stochastic Hodgkin-Huxley neurons

王宝英a, 龚玉兵b   

  1. a Library, Ludong University, Yantai 264025, China;
    b School of Physics and Optoelectronic Engineering, Ludong University, Yantai 264025, China
  • 收稿日期:2015-05-11 修回日期:2015-06-18 出版日期:2015-11-05 发布日期:2015-11-05
  • 通讯作者: Gong Yu-Bing E-mail:gongyubing@ustc.edu
  • 基金资助:
    Project supported by the Natural Science Foundation of Shandong Province of China (Grant No. ZR2012AM013).

Effects of channel noise on synchronization transitions in delayed scale-free network of stochastic Hodgkin-Huxley neurons

Wang Bao-Ying (王宝英)a, Gong Yu-Bing (龚玉兵)b   

  1. a Library, Ludong University, Yantai 264025, China;
    b School of Physics and Optoelectronic Engineering, Ludong University, Yantai 264025, China
  • Received:2015-05-11 Revised:2015-06-18 Online:2015-11-05 Published:2015-11-05
  • Contact: Gong Yu-Bing E-mail:gongyubing@ustc.edu
  • Supported by:
    Project supported by the Natural Science Foundation of Shandong Province of China (Grant No. ZR2012AM013).

摘要: We numerically study the effect of the channel noise on the spiking synchronization of a scale-free Hodgkin-Huxley neuron network with time delays. It is found that the time delay can induce synchronization transitions at an intermediate and proper channel noise intensity, and the synchronization transitions become strongest when the channel noise intensity is optimal. The neurons can also exhibit synchronization transitions as the channel noise intensity is varied, and this phenomenon is enhanced at around the time delays that can induce the synchronization transitions. It is also found that the synchronization transitions induced by the channel noise are dependent on the coupling strength and the network average degree, and there is an optimal coupling strength or network average degree with which the synchronization transitions become strongest. These results show that by inducing synchronization transitions, the channel noise has a big regulation effect on the synchronization of the neuronal network. These findings could find potential implications for the information transmission in neural systems.

关键词: channel noise, scale-free network, time delay, synchronization transition

Abstract: We numerically study the effect of the channel noise on the spiking synchronization of a scale-free Hodgkin-Huxley neuron network with time delays. It is found that the time delay can induce synchronization transitions at an intermediate and proper channel noise intensity, and the synchronization transitions become strongest when the channel noise intensity is optimal. The neurons can also exhibit synchronization transitions as the channel noise intensity is varied, and this phenomenon is enhanced at around the time delays that can induce the synchronization transitions. It is also found that the synchronization transitions induced by the channel noise are dependent on the coupling strength and the network average degree, and there is an optimal coupling strength or network average degree with which the synchronization transitions become strongest. These results show that by inducing synchronization transitions, the channel noise has a big regulation effect on the synchronization of the neuronal network. These findings could find potential implications for the information transmission in neural systems.

Key words: channel noise, scale-free network, time delay, synchronization transition

中图分类号:  (Noise in the nervous system)

  • 87.19.lc
87.19.lm (Synchronization in the nervous system) 87.19.lj (Neuronal network dynamics)