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神经元的自适应耦合拓宽了视交叉上核的节律同步范围。

Adaptive coupling between neurons widens the entrainment range of the suprachiasmatic nucleus.

机构信息

Business School, <a href="https://ror.org/00ay9v204">University of Shanghai for Science and Technology</a>, Shanghai 200093, People's Republic of China.

Department of Cell and Chemical Biology, <a href="https://ror.org/05xvt9f17">Leiden University Medical Center</a>, Leiden 2300RC, Netherlands.

出版信息

Phys Rev E. 2024 Sep;110(3-1):034212. doi: 10.1103/PhysRevE.110.034212.

Abstract

In many realistic systems, such as neural networks in the brain, the coupling strength between neurons is not fixed, but adaptively adjusts according to their activities. The suprachiasmatic nucleus (SCN), as the main clock in the mammalian brain, has been found to be a plastic neural network, and the coupling strength between neurons is highly dynamical. An important function of the SCN is entrainment, reflecting the ability of the SCN to synchronize with the external light-dark cycle. The entrainment ability is reflected by the entrainment range, which is a period range for the external light-dark cycle to which the SCN can entrain. In this article, we investigated whether the entrainment range of the SCN is affected by the adaptive coupling. We use a modified Kuramoto model with external light-dark cycle. We found that when the light sensitivity is larger than the fixed coupling strength (the coupling strength without adaptive rules), adaptive coupling can widen the entrainment range. Our findings help to understand the impact of the adaptive coupling between oscillatorty neurons on the collective behavior of the SCN, and provides a possible explanation for the plasticity of coupling in the master clock network.

摘要

在许多现实系统中,例如大脑中的神经网络,神经元之间的耦合强度不是固定的,而是根据它们的活动自适应地调整。视交叉上核(SCN)作为哺乳动物大脑的主要时钟,已被发现是一个具有可塑性的神经网络,神经元之间的耦合强度具有高度动态性。SCN 的一个重要功能是同步,反映了 SCN 与外部光-暗周期同步的能力。同步能力由同步范围反映,这是 SCN 可以同步的外部光-暗周期的周期范围。在本文中,我们研究了 SCN 的同步范围是否受到自适应耦合的影响。我们使用带有外部光-暗周期的修正 Kuramoto 模型。我们发现,当光敏感度大于固定耦合强度(没有自适应规则的耦合强度)时,自适应耦合可以扩大同步范围。我们的发现有助于理解振荡神经元之间的自适应耦合对 SCN 集体行为的影响,并为主时钟网络中耦合的可塑性提供了可能的解释。

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