The Stochastic Multiresonance Phenomenon in Excitatory-Inhibitory Neuronal Network

被引：0
|
作者：
Xie, Changzhi [1 ]
Li, Huiyan [2 ]
Sun, Xiaojuan [3 ,4 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing, Peoples R China
[2] Beijing Wuzi Univ, Sch Informat, Beijing, Peoples R China
[3] Beijing Univ Posts & Telecommun, Sch Sci, Beijing, Peoples R China
[4] Beijing Univ Posts & Telecommun, Key Lab Math & Informat Networks, Minist Educ, Beijing, Peoples R China
来源：
JOURNAL OF APPLIED NONLINEAR DYNAMICS | 2025年 / 14卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Stochastic resonance; Neuronal network; Inhibitory neurons; RESONANCE; NOISE; ENHANCEMENT; SYNAPSES; TRANSMISSION;
D O I：
10.5890/JAND.2025.03.008
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In biological neuronal systems, information propagation and processing are based on signal detection. Stochastic resonance (SR) is an universal phenonmenon for detecting information in nonlinear dynamic systems. In this paper, we investigate the influence of coupling strength from inhibitory neurons on stochastic resonance (SR) in small-world neuronal networks. Each neuron is described as FitzHugh-Nagumo (FHN) model. The main results report that multiple optimal noise could induce stochastic resonance (SR), which is referred as stochastic multiresonance(SMR), and inhibitory neurons could either destroy stochastic multiresonance(SMR) or turn stochastic multiresonance(SMR) to stochastic resonance(SR) in neuronal network. (c) 2025 L&H Scientific Publishing, LLC. All rights reserved.
引用
收藏
页码：129 / 139
页数：11
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