具有突触内层耦合的多层神经元网络中的交替嵌合态和同步性

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES
Heng Li, Yong Xie
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引用次数: 0

摘要

在过去十年中,有关神经元之间通信的研究大多基于突触。然而,神经元动作电位的变化可能在介质中产生复杂的电磁场,这也可能对神经元的电活动产生影响。为了探索这一因素,我们构建了一个由相同的 Hindmarsh-Rose 神经元组成的双层神经元网络。每个神经元都通过磁连接与本层的邻近神经元相连,并通过电突触与另一层相应位置的神经元相连。通过调整电耦合强度和磁耦合强度,我们发现当层内耦合分别为非局部耦合和局部耦合时,会出现交替嵌合态和瞬时嵌合态。根据我们的研究,在这种结构的多层网络中还没有研究过这些现象。研究发现,只有当耦合邻域的数量较少时,才会出现瞬态嵌合态。此外,两个独立网络的状态会影响应用相同的足够大的层间耦合强度的网络的最终状态。我们的研究揭示了电耦合和突触耦合共同产生对神经元网络动态行为的可能影响。同时,我们的研究结果表明,将电磁感应引入神经元模型是有意义的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling

Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling

Over the past decade, most of researches on the communication between the neurons are based on synapses. However, the changes in action potentials in neurons may produce complex electromagnetic fields in the media, which may also have an impact on the electrical activity of neurons. To explore this factor, we construct a two-layer neuronal network composed of identical Hindmarsh–Rose neurons. Each neuron is connected with its neighbors in the layer via magnetic connections and a neuron in the corresponding position of the other layer via electrical synapse. By adjusting the electrical coupling strength and magnetic coupling strength, we find the appearance of alternating chimera states and transient chimera states whenever the intralayer coupling is nonlocal and local, respectively. According to our study, these phenomena have not been studied in multilayer networks of this structure. And it is found that the transient chimera states only could occur when the number of coupled neighbors is small. In addition, the states of two independent networks will affect the final states of networks applying the same sufficiently large interlayer coupling strength. Our study reveals a possible effect of electrical coupling and ephaptic coupling produced together on the dynamic behavior of the neuronal networks. Meanwhile, our results suggest that it makes sense to take electromagnetic induction into neuronal models.

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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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