Sensitivity of neurons exposed to AC induction electric field

Xiu Wang, Jiang Wang, Yanqiu Che, Chunxiao Han, Bin Deng, Xile Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neuronal coding is one of the characteristics that exhibit the response of the neuron to the external stimulus. Based on a simplified Hodgkin-Huxley model, this paper firstly establishes a new neuronal model under the effect of alternating current (AC) induction electric field, and investigates the mechanism of neuronal encoding and the sensitivity of firing rate to noises. According to the model established, this paper obtains the bifurcation point of the model with the membrane voltage-time curves Then by the data analysis of the mean firing rate-electric field frequency or the mean firing rate-amplitude curves, it obtains the relationship between the neuronal firing rate and noises as well as the electric field intensity, proving that the fluctuations of electric field frequency or amplitude can affect the sensitivity of neurons.

Original languageEnglish (US)
Title of host publicationComputer, Informatics, Cybernetics and Applications - Proceedings of the CICA 2011
Pages73-81
Number of pages9
DOIs
StatePublished - Jan 9 2012
EventInternational Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011 - Hangzhou, China
Duration: Sep 13 2011Sep 16 2011

Publication series

NameLecture Notes in Electrical Engineering
Volume107 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherInternational Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011
CountryChina
CityHangzhou
Period9/13/119/16/11

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Wang, X., Wang, J., Che, Y., Han, C., Deng, B., & Wei, X. (2012). Sensitivity of neurons exposed to AC induction electric field. In Computer, Informatics, Cybernetics and Applications - Proceedings of the CICA 2011 (pp. 73-81). (Lecture Notes in Electrical Engineering; Vol. 107 LNEE). https://doi.org/10.1007/978-94-007-1839-5_9