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{"title":"Noise Enhances Excitability of a Neuronal Population with Heterogeneous Excitatory Neurons","authors":"Tianyi Zheng, Bin Li, Yasuhiko Jimbo, Kenta Shimba, Kiyoshi Kotani","doi":"10.1002/tee.24166","DOIUrl":null,"url":null,"abstract":"<p>Cortical excitability is sensitive to noise perturbations despite homeostatic regulation. However, modeling the effect of noise in a heterogeneous neuronal population is a mathematical challenge. Using a mean-field model of a randomly connected excitatory population, we investigated how noise affects excitability at the resting state. Stable equilibrium analysis revealed that increasing noise intensity enhances excitability, indexed by synaptic conductance. Further, this enhancement disappeared when excitability is sufficiently high due to strong mean input current, but not influenced by the connection probability of the population. Finally, the mechanism of noise-induced enhancement was explained by eigenvalues moving toward the imaginary axis. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"2085-2087"},"PeriodicalIF":1.0000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.24166","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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Abstract
Cortical excitability is sensitive to noise perturbations despite homeostatic regulation. However, modeling the effect of noise in a heterogeneous neuronal population is a mathematical challenge. Using a mean-field model of a randomly connected excitatory population, we investigated how noise affects excitability at the resting state. Stable equilibrium analysis revealed that increasing noise intensity enhances excitability, indexed by synaptic conductance. Further, this enhancement disappeared when excitability is sufficiently high due to strong mean input current, but not influenced by the connection probability of the population. Finally, the mechanism of noise-induced enhancement was explained by eigenvalues moving toward the imaginary axis. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
噪音会增强具有异质性兴奋神经元的神经元群的兴奋性
尽管存在稳态调节，皮层兴奋性对噪声扰动仍很敏感。然而，在异质神经元群中模拟噪声的影响是一项数学挑战。我们利用随机连接的兴奋群的均场模型，研究了噪声如何影响静息状态下的兴奋性。稳定平衡分析表明，噪声强度的增加会增强兴奋性，并以突触电导为指标。此外，当兴奋性足够高时，这种增强作用就会消失，原因是平均输入电流较强，而不受群体连接概率的影响。最后，噪声诱导增强的机制可以用特征值向虚轴移动来解释。© 2024 日本电气工程师学会和 Wiley Periodicals LLC。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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