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自适应耦合优化 Newman-Watts 神经元网络中的尖峰相干性和同步性。

Adaptive coupling optimized spiking coherence and synchronization in Newman-Watts neuronal networks.

机构信息

School of Physics and Optoelectronic Engineering, Ludong University, Yantai, Shandong 264025, China.

出版信息

Chaos. 2013 Sep;23(3):033105. doi: 10.1063/1.4813224.

Abstract

In this paper, we have numerically studied the effect of adaptive coupling on the temporal coherence and synchronization of spiking activity in Newman-Watts Hodgkin-Huxley neuronal networks. It is found that random shortcuts can enhance the spiking synchronization more rapidly when the increment speed of adaptive coupling is increased and can optimize the temporal coherence of spikes only when the increment speed of adaptive coupling is appropriate. It is also found that adaptive coupling strength can enhance the synchronization of spikes and can optimize the temporal coherence of spikes when random shortcuts are appropriate. These results show that adaptive coupling has a big influence on random shortcuts related spiking activity and can enhance and optimize the temporal coherence and synchronization of spiking activity of the network. These findings can help better understand the roles of adaptive coupling for improving the information processing and transmission in neural systems.

摘要

在本文中,我们通过数值研究了自适应耦合对 Newman-Watts Hodgkin-Huxley 神经元网络中尖峰活动的时间相干性和同步性的影响。结果发现,当自适应耦合的增量速度增加时,随机短程连接可以更快地增强尖峰同步性,并且只有当自适应耦合的增量速度适当时,才能优化尖峰的时间相干性。还发现,自适应耦合强度可以增强尖峰的同步性,并且在随机短程连接适当的情况下,可以优化尖峰的时间相干性。这些结果表明,自适应耦合对与随机短程连接相关的尖峰活动有很大影响,可以增强和优化网络的尖峰活动的时间相干性和同步性。这些发现可以帮助更好地理解自适应耦合在提高神经系统信息处理和传输方面的作用。

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