Yao Yuangen, Ma Jun
1Department of Physics, College of Science, Huazhong Agricultural University, Wuhan, China.
2Department of Physics, Lanzhou University of Technology, Lanzhou, China.
Cogn Neurodyn. 2018 Jun;12(3):343-349. doi: 10.1007/s11571-018-9475-3. Epub 2018 Jan 15.
Based on the FitzHugh-Nagumo (FHN) neuron model subjected to sine-Wiener (SW) noise, impacts of SW noise on weak periodic signal detection are investigated by calculating response measure Q for characterizing synchronization between the input signal and the output temporal activities of the neuron. It is numerically demonstrated that the response measure Q can achieve the optimal value under appropriate and moderate intensity or correlation time of SW noise, suggesting the occurrence of SW-noise-induced stochastic resonance. Furthermore, the optimal value of Q is sensitive to correlation time. Consequently, the correlation time of SW noise has a great influence on the performance of signal detection in the FHN neuron.
基于受正弦-维纳（SW）噪声作用的菲茨休-纳古莫（FHN）神经元模型，通过计算用于表征输入信号与神经元输出时间活动之间同步性的响应量Q，研究了SW噪声对微弱周期信号检测的影响。数值结果表明，在适当且适中的SW噪声强度或相关时间下，响应量Q可达到最优值，这表明发生了SW噪声诱导的随机共振。此外，Q的最优值对相关时间敏感。因此，SW噪声的相关时间对FHN神经元中信号检测的性能有很大影响。
