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Inverse stochastic resonance in Izhikevich neural motifs driven by Gaussian colored noise under electromagnetic induction
International Journal of Modern Physics B ( IF 2.6 ) Pub Date : 2022-09-13 , DOI: 10.1142/s0217979223500492
Zhiqiu Ye 1 , Yumei Yang 1 , Ya Jia 1
Affiliation  

Inverse stochastic resonance (ISR) is a modality of nonlinear response to noise, there is the biggest inhibitory effect of noise on neural electrical activity when the ISR happens. In this paper, the discharge activity of a triple-neuron feed-forward-loop (FFL) motif is investigated under the Gaussian colored noise and electromagnetic induction, where the FFL motif is constructed by Izhikevich neurons and connected by chemical synapse and the FFL motifs are classified into four types by the character of synaptic current. Here, the ISR induced by the Gaussian colored noise and electromagnetic induction is focused and various effects of different system parameters on ISR have been found. The most prominent ISR phenomenon will be seen in the case of low-input current and low cross-correlation ratio. There are no significant differences in the ISR curves for various chemical coupling strengths and chemical synapse delays, which conforms to the dynamic mechanisms of the ISR behavior. Besides, the ISR phenomenon also ensues under low electromagnetic induction levels and the effects of electromagnetic induction on the ISR are discussed. The results found here provide a novel perspective about the inhibitory effect on neural motif, which might help the biologists and pathologists understand some complex physiological phenomena of the nervous systems.



中文翻译:

电磁感应下由高斯有色噪声驱动的 Izhikevich 神经基序的逆随机共振

逆随机共振(inverse stochastic resonance, ISR)是一种对噪声的非线性响应方式,发生ISR时噪声对神经电活动的抑制作用最大。在本文中,在高斯有色噪声和电磁感应下研究了三神经元前馈环 (FFL) 基序的放电活动,其中 FFL 基序由 Izhikevich 神经元构建并通过化学突触和 FFL 基序连接根据突触电流的特性分为四种类型。这里重点关注由高斯有色噪声和电磁感应引起的 ISR,并发现了不同系统参数对 ISR 的各种影响。最突出的 ISR 现象将出现在低输入电流和低互相关比的情况下。各种化学耦合强度和化学突触延迟的 ISR 曲线没有显着差异,符合 ISR 行为的动力学机制。此外,在低电磁感应水平下也会出现 ISR 现象,并讨论了电磁感应对 ISR 的影响。这里发现的结果为神经基序的抑制作用提供了一个新的视角,这可能有助于生物学家和病理学家理解神经系统的一些复杂生理现象。

更新日期:2022-09-13
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