Locally repulsive coupling-induced tunable oscillations.

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2025-01-01 DOI:10.1063/5.0244771
Xiaoming Liang, Fan Mo, Qun Wang, Huaping Lü
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引用次数: 0

Abstract

The precise amplitude and period of neuronal oscillations are crucial for the functioning of neuronal networks. We propose a chain model featuring a repulsive coupling at the first node, followed by attractive couplings at subsequent nodes. This model allows for the simultaneous regulation of both quantities. The repulsive coupling at the first neuron enables it to act as a pacemaker, generating oscillations whose amplitude and period are correlated with the coupling strength. At the same time, attractive couplings help transmit these oscillations along the chain, leading to collective oscillations of varying scales. Our study demonstrates that a three-node chain with locally repulsive coupling forms the fundamental structure for generating tunable oscillations. By using a simplified neuron model, we investigate how locally repulsive coupling affects the amplitude and period of oscillations and find results that align with numerical observations. These findings indicate that repulsive couplings play a crucial role in regulating oscillatory patterns within neuronal networks.

局部排斥耦合诱导的可调谐振荡。
神经元振荡的精确幅度和周期对神经元网络的功能至关重要。我们提出了一个链式模型,在第一个节点上具有排斥性耦合,随后在后续节点上具有吸引力耦合。这个模型允许同时调节这两个量。第一个神经元的斥力耦合使其充当起搏器,产生振幅和周期与耦合强度相关的振荡。同时,有吸引力的耦合有助于沿着链传递这些振荡,导致不同尺度的集体振荡。我们的研究表明,具有局部排斥耦合的三节点链形成了产生可调谐振荡的基本结构。通过使用一个简化的神经元模型,我们研究了局部排斥耦合如何影响振荡的幅度和周期,并找到了与数值观测一致的结果。这些发现表明,斥力耦合在调节神经元网络的振荡模式中起着至关重要的作用。
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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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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