Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh-Nagumo neuron
Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh-Nagumo neuron
复制标题
FitzHugh-Nagumo 神经元中正弦维纳噪声引起的共振检测微弱周期信号
DOI：
10.1007/s11571-018-9475-3
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发表时间：
2018
影响因子：
3.7
通讯作者：
Ma Jun
中科院分区：
文献类型：
--
作者：
Yao Yuangen;Ma Jun
基于正弦维纳（sine-Wiener，SW）噪声下的FitzHugh-Nagumo（FHN）神经元模型，通过计算表征神经元输入信号和输出时间活动同步性的响应测度Q，研究SW噪声对弱周期信号检测的影响.数值结果表明，在适当的短波噪声强度或关联时间下，响应测度Q可以达到最佳值，表明短波噪声诱导的随机共振现象的发生。此外，Q的最佳值对相关时间敏感。因此，SW噪声的相关时间对FHN神经元的信号检测性能有很大影响。
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.