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Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise
Electrical activities are ubiquitous neuronal bioelectric phenomena, which have many different modes to encode the expression of biological information, and constitute the whole process of signal propagation between neurons. Therefore, we focus on the electrical activities of neurons, which is also...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702444/ https://www.ncbi.nlm.nih.gov/pubmed/29209192 http://dx.doi.org/10.3389/fncom.2017.00107 |
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author | Zhan, Feibiao Liu, Shenquan |
author_facet | Zhan, Feibiao Liu, Shenquan |
author_sort | Zhan, Feibiao |
collection | PubMed |
description | Electrical activities are ubiquitous neuronal bioelectric phenomena, which have many different modes to encode the expression of biological information, and constitute the whole process of signal propagation between neurons. Therefore, we focus on the electrical activities of neurons, which is also causing widespread concern among neuroscientists. In this paper, we mainly investigate the electrical activities of the Morris-Lecar (M-L) model with electromagnetic radiation or Gaussian white noise, which can restore the authenticity of neurons in realistic neural network. First, we explore dynamical response of the whole system with electromagnetic induction (EMI) and Gaussian white noise. We find that there are slight differences in the discharge behaviors via comparing the response of original system with that of improved system, and electromagnetic induction can transform bursting or spiking state to quiescent state and vice versa. Furthermore, we research bursting transition mode and the corresponding periodic solution mechanism for the isolated neuron model with electromagnetic induction by using one-parameter and bi-parameters bifurcation analysis. Finally, we analyze the effects of Gaussian white noise on the original system and coupled system, which is conducive to understand the actual discharge properties of realistic neurons. |
format | Online Article Text |
id | pubmed-5702444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57024442017-12-05 Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise Zhan, Feibiao Liu, Shenquan Front Comput Neurosci Neuroscience Electrical activities are ubiquitous neuronal bioelectric phenomena, which have many different modes to encode the expression of biological information, and constitute the whole process of signal propagation between neurons. Therefore, we focus on the electrical activities of neurons, which is also causing widespread concern among neuroscientists. In this paper, we mainly investigate the electrical activities of the Morris-Lecar (M-L) model with electromagnetic radiation or Gaussian white noise, which can restore the authenticity of neurons in realistic neural network. First, we explore dynamical response of the whole system with electromagnetic induction (EMI) and Gaussian white noise. We find that there are slight differences in the discharge behaviors via comparing the response of original system with that of improved system, and electromagnetic induction can transform bursting or spiking state to quiescent state and vice versa. Furthermore, we research bursting transition mode and the corresponding periodic solution mechanism for the isolated neuron model with electromagnetic induction by using one-parameter and bi-parameters bifurcation analysis. Finally, we analyze the effects of Gaussian white noise on the original system and coupled system, which is conducive to understand the actual discharge properties of realistic neurons. Frontiers Media S.A. 2017-11-21 /pmc/articles/PMC5702444/ /pubmed/29209192 http://dx.doi.org/10.3389/fncom.2017.00107 Text en Copyright © 2017 Zhan and Liu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Zhan, Feibiao Liu, Shenquan Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise |
title | Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise |
title_full | Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise |
title_fullStr | Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise |
title_full_unstemmed | Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise |
title_short | Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise |
title_sort | response of electrical activity in an improved neuron model under electromagnetic radiation and noise |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702444/ https://www.ncbi.nlm.nih.gov/pubmed/29209192 http://dx.doi.org/10.3389/fncom.2017.00107 |
work_keys_str_mv | AT zhanfeibiao responseofelectricalactivityinanimprovedneuronmodelunderelectromagneticradiationandnoise AT liushenquan responseofelectricalactivityinanimprovedneuronmodelunderelectromagneticradiationandnoise |