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Inverse stochastic resonance in Izhikevich neural motifs driven by Gaussian colored noise under electromagnetic induction

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成果类型:
期刊论文
作者:
Ye, Zhiqiu;Yang, Yumei;Jia, Ya
通讯作者:
Ya Jia
作者机构:
[Ye, Zhiqiu; Yang, Yumei; Jia, Ya] Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
通讯机构:
[Ya Jia] D
Department of Physics, Central China Normal University, Wuhan 430079, P. R. China
语种:
英文
关键词:
Izhikevich neuron;network motifs;inverse stochastic resonance;chemical synapse;electromagnetic induction
期刊:
International Journal of Modern Physics B
ISSN:
0217-9792
年:
2023
卷:
37
期:
05
页码:
2350049
基金类别:
National Natural Science Foundation of China [12175080]
机构署名:
本校为第一机构
院系归属:
物理科学与技术学院
摘要:
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 i...

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