Synchronization in network motifs of delay-coupled map-based neurons

被引：0
作者：
J. M. Sausedo-Solorio
A. N. Pisarchik
机构：
[1] Universidad Autónoma del Estado de Hidalgo,
[2] Center for Biomedical Technology,undefined
[3] Technical University of Madrid,undefined
[4] Centro de Investigaciones en Óptica,undefined
[5] Yuri Gagarin Saratov State Technical University,undefined
来源：
The European Physical Journal Special Topics | 2017年 / 226卷
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学科分类号：
摘要：
We study the influence of delayed coupling on synchronization in neural network motifs. Numerical simulations based on the Rulkov map reveal different behavior in the presence and in the absence of the delay. While without delay, synchronization improves as the coupling strength is increased, in the presence of a delay, synchronization becomes worse. We also study how a feedback loop affects synchronization. An increase in the number of neurons involved in the loop leads to desynchronization in the motifs, saturating at a certain value of the synchronization index.
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页码：1911 / 1920
页数：9
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