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耦合区域中神经元同步的出现。

Emergence of Neuronal Synchronisation in Coupled Areas.

作者信息

Protachevicz Paulo R, Hansen Matheus, Iarosz Kelly C, Caldas Iberê L, Batista Antonio M, Kurths Jürgen

机构信息

Applied Physics Department, Institute of Physics, University of São Paulo, São Paulo, Brazil.

Computer Science Department, Institute of Science and Technology, Federal University of São Paulo - UNIFESP, São José dos Campos, Brazil.

出版信息

Front Comput Neurosci. 2021 Apr 22;15:663408. doi: 10.3389/fncom.2021.663408. eCollection 2021.

DOI:10.3389/fncom.2021.663408
PMID:33967729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8100315/
Abstract

One of the most fundamental questions in the field of neuroscience is the emergence of synchronous behaviour in the brain, such as phase, anti-phase, and shift-phase synchronisation. In this work, we investigate how the connectivity between brain areas can influence the phase angle and the neuronal synchronisation. To do this, we consider brain areas connected by means of excitatory and inhibitory synapses, in which the neuron dynamics is given by the adaptive exponential integrate-and-fire model. Our simulations suggest that excitatory and inhibitory connections from one area to another play a crucial role in the emergence of these types of synchronisation. Thus, in the case of unidirectional interaction, we observe that the phase angles of the neurons in the receiver area depend on the excitatory and inhibitory synapses which arrive from the sender area. Moreover, when the neurons in the sender area are synchronised, the phase angle variability of the receiver area can be reduced for some conductance values between the areas. For bidirectional interactions, we find that phase and anti-phase synchronisation can emerge due to excitatory and inhibitory connections. We also verify, for a strong inhibitory-to-excitatory interaction, the existence of silent neuronal activities, namely a large number of excitatory neurons that remain in silence for a long time.

摘要

神经科学领域最基本的问题之一是大脑中同步行为的出现,如相位同步、反相位同步和移相同步。在这项工作中,我们研究脑区之间的连接性如何影响相位角和神经元同步。为此,我们考虑通过兴奋性和抑制性突触连接的脑区,其中神经元动力学由自适应指数积分发放模型给出。我们的模拟表明,从一个区域到另一个区域的兴奋性和抑制性连接在这些同步类型的出现中起着关键作用。因此,在单向相互作用的情况下,我们观察到接收区域中神经元的相位角取决于来自发送区域的兴奋性和抑制性突触。此外,当发送区域中的神经元同步时,对于区域之间的某些电导值,接收区域的相位角变异性可以降低。对于双向相互作用,我们发现由于兴奋性和抑制性连接可以出现相位和反相位同步。我们还验证了,对于强抑制性到兴奋性相互作用,存在沉默神经元活动,即大量兴奋性神经元长时间保持沉默。

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