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arXiv 2102.10216nlin.CDmath.OC
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仓本振子星型网络远程同步的稳定性

Stability of Remote Synchronization in Star Networks of Kuramoto Oscillators

Yuzhen Qin, Yu Kawano, Ming Cao

摘要:

神经元集合的同步性被认为有助于人脑皮层区域之间的信息交换。最近,已经观察到,没有通过神经链路直接连接的遥远的大脑区域也会经历同步。远程区域之间的这种同步有时是由于连接它们的中介区域的存在,例如,\textit{the thalamus}。这种现象的底层网络结构是星形的,并促使我们研究仓本振荡器的\textit{remote synchronization},{模拟神经动力学},通过定向星形网络耦合,外围振荡器获得相位同步,在不同的相位保持调节中心介质。我们发现,从中央振荡器的传出链路的耦合强度的对称性起着至关重要的作用,使稳定的远程同步。我们还考虑的情况下,当有一个相移的模型,结果从突触和传导延迟。得到了保证远程同步状态稳定的耦合强度的充分条件。为了验证我们得到的结果,数值模拟也进行。

英文摘要:

Synchrony of neuronal ensembles is believed to facilitate information exchange among cortical regions in the human brain. Recently, it has been observed that distant brain areas which are not directly connected by neural links also experience synchronization. Such synchronization between remote regions is sometimes due to the presence of a mediating region connecting them, e.g., \textit{the thalamus}. The underlying network structure of this phenomenon is star-like and motivates us to study the \textit{remote synchronization} of Kuramoto oscillators, {modeling neural dynamics}, coupled by a directed star network, for which peripheral oscillators get phase synchronized, remaining the accommodating central mediator at a different phase. We show that the symmetry of the coupling strengths of the outgoing links from the central oscillator plays a crucial role in enabling stable remote synchronization. We also consider the case when there is a phase shift in the model which results from synaptic and conduction delays. Sufficient conditions on the coupling strengths are obtained to ensure the stability of remotely synchronized states. To validate our obtained results, numerical simulations are also performed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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