A scheme of de-synchronization in globally coupled neural networks and its possible implications for vagus nerve stimulation

Yan-Long Li, Min Wu, Jun Ma, Zhao-Yang Chen and Ying-Hai Wang

Chaos, Solitons & Fractals, 2009, vol. 39, issue 3, 1472-1479

Abstract: A scheme of de-synchronization via pulse stimulation is numerically investigated in the Hindmarsh Rose globally coupled neural networks. The simulations show that synchronization evolves into de-synchronization in the globally coupled HR neural network when a part (about 10%) of neurons are stimulated with a pulse current signal. The network de-synchronization appears to be sensitive to the stimulation parameters. For the case of the same stimulation intensity, those weakly coupled networks reach de-synchronization more easily than strongly coupled networks. There exists a homologous asymptotic behavior in the region of higher frequency, and exist the optimal stimulation interval and period of continuous stimulation time when other stimulation parameters remain invariable.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:39:y:2009:i:3:p:1472-1479

DOI: 10.1016/j.chaos.2007.05.015

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