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Mode selection in electrical activities of myocardial cell exposed to electromagnetic radiation

Author

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  • Ma, Jun
  • Wang, Ya
  • Wang, Chunni
  • Xu, Ying
  • Ren, Guodong

Abstract

Based on the Fitzhugh–Nagumo neuron model, the effect of electromagnetic induction is considered and external electromagnetic radiation is imposed to detect the mode transition of electrical activities in a myocardial cell. Appropriate dynamical and functional responses can be observed in the sampled series for membrane potentials by setting different feedback modulation on the membrane potential in presence of electromagnetic radiation. The electromagnetic radiation is described by a periodical forcing on the magnetic flux, and it is found that the response frequency can keep pace with the frequency of external forcing. However, mismatch of frequency occurs by further increasing the frequency of external forcing, it could account for the information encoding of neuron. The dynamical response could be associated with the magnetization and polarization of the media, thus the outputs of membrane potential can become quiescent and/or bursting as well.

Suggested Citation

  • Ma, Jun & Wang, Ya & Wang, Chunni & Xu, Ying & Ren, Guodong, 2017. "Mode selection in electrical activities of myocardial cell exposed to electromagnetic radiation," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 219-225.
    • Handle: RePEc:eee:chsofr:v:99:y:2017:i:c:p:219-225
    DOI: 10.1016/j.chaos.2017.04.016
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    References listed on IDEAS

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    1. Perc, Matjaž, 2007. "Effects of small-world connectivity on noise-induced temporal and spatial order in neural media," Chaos, Solitons & Fractals, Elsevier, vol. 31(2), pages 280-291.
    2. Chunni Wang & Shengli Guo & Ying Xu & Jun Ma & Jun Tang & Faris Alzahrani & Aatef Hobiny, 2017. "Formation of Autapse Connected to Neuron and Its Biological Function," Complexity, Hindawi, vol. 2017, pages 1-9, February.
    3. L. C. Yu & Y. Chen & Pan Zhang, 2007. "Frequency and phase synchronization of two coupled neurons with channel noise," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 59(2), pages 249-257, September.
    4. Juan Wu & Yong Xu & Jun Ma, 2017. "Lévy noise improves the electrical activity in a neuron under electromagnetic radiation," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
    5. Shao, Rui-Hua & Chen, Yong, 2009. "Stochastic resonance in time-delayed bistable systems driven by weak periodic signal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 977-983.
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    Cited by:

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