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首页> 外文期刊>Neural Networks: The Official Journal of the International Neural Network Society >Spike timing-dependent plasticity induces non-trivial topology in the brain
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Spike timing-dependent plasticity induces non-trivial topology in the brain

机译:尖峰时序依赖性塑性在大脑中引起非琐碎的拓扑

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摘要

We study the capacity of Hodgkin-Huxley neuron in a network to change temporarily or permanently their connections and behavior, the so called spike timing-dependent plasticity (STDP), as a function of their synchronous behavior. We consider STDP of excitatory and inhibitory synapses driven by Hebbian rules. We show that the final state of networks evolved by a STDP depend on the initial network configuration. Specifically, an initial all-to-all topology evolves to a complex topology. Moreover, external perturbations can induce co-existence of clusters, those whose neurons are synchronous and those whose neurons are desynchronous. This work reveals that STDP based on Hebbian rules leads to a change in the direction of the synapses between high and low frequency neurons, and therefore, Hebbian learning can be explained in terms of preferential attachment between these two diverse communities of neurons, those with low-frequency spiking neurons, and those with higher-frequency spiking neurons. (C) 2017 Elsevier Ltd. All rights reserved.
机译:我们研究Hodgkin-Huxley神经元在网络中的能力暂时或永久地改变它们的连接和行为,所谓的尖峰时序依赖性塑性(STDP),作为其同步行为的函数。我们认为Hebbian规则驱动的兴奋性和抑制突触的STDP。我们表明,STDP演变的最终状态取决于初始网络配置。具体地,初始全拓拓扑演变为复杂的拓扑。此外,外部扰动可以诱导簇的共存,那些神经元是同步的那些,并且其神经元是不同步的那些。这项工作揭示了基于Hebbian规则的STDP导致高低频率神经元之间突触方向的变化,因此,可以就这两个多种神经元的神经元之间的优先附着而言,可以解释Hebbian学习 - 初步神经元,以及具有更高频率的尖刺神经元的神经元。 (c)2017 Elsevier Ltd.保留所有权利。

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