具有绝对耐火期的积分燃烧模型的波动-响应关系。

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS
Biological Cybernetics Pub Date : 2024-04-01 Epub Date: 2024-01-23 DOI:10.1007/s00422-023-00982-9
Friedrich Puttkammer, Benjamin Lindner
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引用次数: 0

摘要

我们研究的问题是,如果随机积分发射(IF)模型被赋予一个非消失的折射周期和一个有限的(刻板的)尖峰形状,那么随机积分发射模型的自发波动与瞬时发射率对随时间变化的刺激的响应之间的关系。林德纳物理评论快报(Phys. Rev. Lett.,2022 年)提出的分析,即把复位纳入模型方程、随机微分方程的赖斯平均法以及古突-诺维科夫定理的应用,都变得复杂起来。我们推导出了具有折射状态和白高斯背景噪声的中频模型的精确波动响应关系(尽管更为复杂)。我们还简要讨论了彩色高斯噪声情况下的近似值,最后对未决问题进行了总结和展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fluctuation-response relations for integrate-and-fire models with an absolute refractory period.

We study the problem of relating the spontaneous fluctuations of a stochastic integrate-and-fire (IF) model to the response of the instantaneous firing rate to time-dependent stimulation if the IF model is endowed with a non-vanishing refractory period and a finite (stereotypical) spike shape. This seemingly harmless addition to the model is shown to complicate the analysis put forward by Lindner Phys. Rev. Lett. (2022), i.e., the incorporation of the reset into the model equation, the Rice-like averaging of the stochastic differential equation, and the application of the Furutsu-Novikov theorem. We derive a still exact (although more complicated) fluctuation-response relation (FRR) for an IF model with refractory state and a white Gaussian background noise. We also briefly discuss an approximation for the case of a colored Gaussian noise and conclude with a summary and outlook on open problems.

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来源期刊
Biological Cybernetics
Biological Cybernetics 工程技术-计算机:控制论
CiteScore
3.50
自引率
5.30%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.
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