首页> 外文期刊>The European physical journal, B. Condensed matter physics >Effect of spike-timing-dependent plasticity on coherence resonance and synchronization transitions by time delay in adaptive neuronal networks
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Effect of spike-timing-dependent plasticity on coherence resonance and synchronization transitions by time delay in adaptive neuronal networks

机译:自适应神经元网络中的时间延迟依赖于峰值定时的可塑性对相干共振和同步跃迁的影响

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In this paper, we numerically study how time delay induces multiple coherence resonance (MCR) and synchronization transitions (ST) in adaptive Hodgkin-Huxley neuronal networks with spike-timing dependent plasticity (STDP). It is found that MCR induced by time delay STDP can be either enhanced or suppressed as the adjusting rate A (p) of STDP changes, and ST by time delay varies with the increase of A (p) , and there is optimal A (p) by which the ST becomes strongest. It is also found that there are optimal network randomness and network size by which ST by time delay becomes strongest, and when A (p) increases, the optimal network randomness and optimal network size increase and related ST is enhanced. These results show that STDP can either enhance or suppress MCR and optimal STDP can enhance ST induced by time delay in the adaptive neuronal networks. These findings provide a new insight into STDP's role for the information processing and transmission in neural systems.
机译:在本文中,我们通过数值研究时延如何在具有依赖于时变时序的可塑性(STDP)的自适应Hodgkin-Huxley神经元网络中诱导多重相干共振(MCR)和同步转变(ST)。可以发现,随着STDP调整率A(p)的变化,由时延STDP引起的MCR可以得到增强或抑制,而随着时延ST的调整率A(p)的增加,由时延ST引起的MCR也可以得到最优的),从而使ST最强。还发现存在最佳网络随机性和网络大小,通过该最佳网络随机性和网络大小,时延ST变得最强,并且当A(p)增加时,最佳网络随机性和最佳网络大小增加,并且相关ST增强。这些结果表明,STDP可以增强或抑制MCR,而最佳STDP可以增强自适应神经元网络中时间延迟引起的ST。这些发现为STDP在神经系统中信息处理和传输中的作用提供了新的见解。

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