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Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh–Nagumo neuron

机译:FitzHugh–Nagumo神经元中正弦-维纳噪声诱发的共振的弱周期性信号检测

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摘要

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.
机译:基于经受正弦-维纳(SW)噪声的FitzHugh-Nagumo(FHN)神经元模型,通过计算响应量度Q表征输入信号与输出的瞬时活动之间的同步,研究SW噪声对弱周期信号检测的影响。神经元。数值证明,在适当和中等强度的SW噪声或相关时间下,响应测度Q可以达到最佳值,表明发生了SW噪声诱发的随机共振。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。

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