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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5265

Title: Vibrational resonance in neuron populations
Authors: Deng, Bin
Wang, Jiang
Wei, Xile
Tsang, Kai-ming
Chan, Wai-lok
Subjects: Complex networks
Network topology
Issue Date: Mar-2010
Publisher: American Institute of Physics
Citation: Chaos: an interdisciplinary journal of nonlinear science, Mar. 2010, v. 20, no. 1, 013113, p. 1-7.
Abstract: In this paper different topologies of populations of FitzHugh–Nagumo neurons have been introduce to investigate the effect of high-frequency driving on the response of neuron populations to a subthreshold low-frequency signal. We show that optimal amplitude of high-frequency driving enhances the response of neuron populations to a subthreshold low-frequency input and the optimal amplitude dependences on the connection among the neurons. By analyzing several kinds of topology (i.e., random and small world) different behaviors have been observed. Several topologies behave in an optimal way with respect to the range of low-frequency amplitude leading to an improvement in the stimulus response coherence, while others with respect to the maximum values of the performance index. However, the best results in terms of both the suitable amplitude of high-frequency driving and high stimulus response coherence have been obtained when the neurons have been connected in a small-world topology.
Description: DOI:10.1063/1.3324700
Rights: © 2010 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Bin Deng et al., Chaos: an interdisciplinary journal of nonlinear science 20, 013113 (2010) and may be found at http://link.aip.org/link/?cha/20/013113
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/5265
ISSN: 1054-1500 (print)
1089-7682 (online)
Appears in Collections:EE Journal/Magazine Articles

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