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Coefficient of Variation based analysis of Coherence Resonance in Hodgkin-Huxley Neuron Model

机译:Hodgkin-Huxley神经元模型中相干共振分析系数

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We study the nonlinear response of the Hodgkin-Huxley model without external periodic signal to Gaussian white noise (GWN) and Ornstein-Uhlenbeck noise (OUN) as synaptic current respectively near the saddle-node bifurcation of limit cycles. The coherence of the system, estimated from the Coefficient of Variation of interspike interval of membrane potentials and spike trains, is minimal at certain noise intensity, so that the coherence resonance occurs. When GWN is served as synaptic input, coherence resonance occurs when noise intensity is greater than a certain threshold; when OUN is served as synaptic input, coherence resonance only occurs only with a moderate diffusion coefficient: too large diffusion coefficient will not generate coherence resonance. These findings further our understanding of how neurons respond to different types of noises.
机译:我们研究了Hodgkin-Huxley模型的非线性响应,而不为高斯白噪声(GWN)和Ornstein-Uhlenbeck噪声(OUN)分别附近极限循环的鞍座节点分叉附近的突触电流。系统的相干性来自膜电位和尖峰列车的间隙间隔的变化系数,在某些噪声强度下最小,从而发生相干共振。当GWN用作突触输入时,当噪声强度大于特定阈值时,会发生相干共振;当OUN作为突触输入时,相干共振仅在适度的扩散系数中仅发生:太大的扩散系数不会产生相干共振。这些发现进一步了解神经元如何应对不同类型的噪声。

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