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Dynamical responses in a new neuron model subjected to electromagnetic induction and phase noise

Fuqiang Wu, Chunni Wang, Wuyin Jin and Jun Ma

Physica A: Statistical Mechanics and its Applications, 2017, vol. 469, issue C, 81-88

Abstract: Complex electrical activities in neuron can induce time-varying electromagnetic field and the effect of various electromagnetic inductions should be considered in dealing with electrical activities of neuron. Based on an improved neuron model, the effect of electromagnetic induction is described by using magnetic flux, and the modulation of magnetic flux on membrane potential is realized by using memristor coupling. Furthermore, additive phase noise is imposed on the neuron to detect the dynamical response of neuron and phase transition in modes. The dynamical properties of electrical activities are detected and discussed, and double coherence resonance behavior is observed, respectively. Furthermore, multiple modes of electrical activities can be observed in the sampled time series for membrane potential of the neuron model.

Keywords: Electromagnetic induction; Neuron; Stochastic resonance; Bifurcation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:469:y:2017:i:c:p:81-88

DOI: 10.1016/j.physa.2016.11.056

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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