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时空模式在非同质脉冲神经元环中的变异性。

Variability of spatio-temporal patterns in non-homogeneous rings of spiking neurons.

机构信息

Institute of Mathematics, Humboldt University of Berlin, 10099 Berlin, Germany.

出版信息

Chaos. 2011 Dec;21(4):047511. doi: 10.1063/1.3665200.

Abstract

We show that a ring of unidirectionally delay-coupled spiking neurons may possess a multitude of stable spiking patterns and provide a constructive algorithm for generating a desired spiking pattern. More specifically, for a given time-periodic pattern, in which each neuron fires once within the pattern period at a predefined time moment, we provide the coupling delays and/or coupling strengths leading to this particular pattern. The considered homogeneous networks demonstrate a great multistability of various travelling time- and space-periodic waves which can propagate either along the direction of coupling or in opposite direction. Such a multistability significantly enhances the variability of possible spatio-temporal patterns and potentially increases the coding capability of oscillatory neuronal loops. We illustrate our results using FitzHugh-Nagumo neurons interacting via excitatory chemical synapses as well as limit-cycle oscillators.

摘要

我们表明,一个单向延迟耦合的尖峰神经元环可能具有多种稳定的尖峰模式,并提供了一种生成期望尖峰模式的建设性算法。更具体地说,对于给定的时周期模式,其中每个神经元在模式周期内的预定义时间点发射一次,我们提供导致该特定模式的耦合延迟和/或耦合强度。所考虑的均匀网络表现出各种传播时间和空间周期性波的巨大多稳定性,这些波可以沿着耦合方向或相反方向传播。这种多稳定性显著增加了可能的时空模式的可变性,并有可能增加振荡神经元环的编码能力。我们使用通过兴奋性化学突触相互作用的 FitzHugh-Nagumo 神经元以及极限环振荡器来说明我们的结果。

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