登录

谢勇

教授

基本信息 / Basic Information

  • 博士生导师 硕士生导师
  • 电子邮箱:
  • 学历: 博士研究生毕业
  • 学位: 博士
  • 学科: 力学

论文成果

当前位置: 中文主页 - 科学研究 - 论文成果

Signal-to-noise ratio gain of a noisy neuron that transmits subthreshold periodic spike trains.

发布时间:2025-04-30
点击次数:
发布时间:
2025-04-30
论文名称:
Signal-to-noise ratio gain of a noisy neuron that transmits subthreshold periodic spike trains.
发表刊物:
Physical Review E
摘要:
The transmission properties of an integrate-and-fire neuron model that transmits coherent subthreshold spike trains in a shot noise environment are investigated by numerical simulation. For very weak coherent couplings,it is shown that the input-output signal-to-noise ratio SNR gain is easier to exceed unity; while for stronger coherent couplings it is difficult to observe the SNR gain larger than unity at the optimal noise intensity. These observations are different from those acquired in the case of continuous noise. Our analysis further suggests that the larger SNR gain in the very weak coherent coupling case should be due to the noise-induced resonance.It is also shown that there is more possibility of the SNR gain above unity for slower periodic spike trains transmitted by the model. The results may be useful in understanding the performance of real noisy neurons acting as signal-processing elements.
合写作者:
Yan Mei Kang, Jian Xue Xu, and Yong Xie
是否译文:
发表时间:
2005-08-02