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Spike timing-dependent plasticity induces non-trivial topology in the brain

机译:尖峰时间相关的可塑性在大脑中诱导非平凡的拓扑结构

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摘要

© 2017 Elsevier Ltd 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.
机译:©2017 Elsevier Ltd我们研究网络中霍奇金-赫克斯利神经元根据其同步行为而临时或永久改变其连接和行为(所谓的“尖峰时序相关可塑性”(STDP))的能力。我们考虑了由希伯来文规则驱动的兴奋性和抑制性突触的STDP。我们表明,STDP演进的网络的最终状态取决于初始网络配置。具体而言,最初的全部拓扑结构演变为复杂的拓扑结构。此外,外部扰动可以诱导集群的共存,这些集群的神经元是同步的,而神经元是不同步的。这项工作表明,基于Hebbian规则的STDP导致高频和低频神经元之间突触的方向发生变化,因此,可以用这两个不同的神经元社区之间的优先依附来解释Hebbian学习。尖峰神经元,以及那些具有较高尖峰神经元的神经元。

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