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Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors
The Hodgkin-Huxley (HH) spiking neuron model reproduces the dynamic characteristics of the neuron by mimicking the action potential, ionic channels, and spiking behaviors. The memristor is a nonlinear device with variable resistance. In this paper, the memristor is introduced to the HH spiking model...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496503/ https://www.ncbi.nlm.nih.gov/pubmed/34630019 http://dx.doi.org/10.3389/fnins.2021.730566 |
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author | Fang, Xiaoyan Duan, Shukai Wang, Lidan |
author_facet | Fang, Xiaoyan Duan, Shukai Wang, Lidan |
author_sort | Fang, Xiaoyan |
collection | PubMed |
description | The Hodgkin-Huxley (HH) spiking neuron model reproduces the dynamic characteristics of the neuron by mimicking the action potential, ionic channels, and spiking behaviors. The memristor is a nonlinear device with variable resistance. In this paper, the memristor is introduced to the HH spiking model, and the memristive Hodgkin-Huxley spiking neuron model (MHH) is presented. We experimentally compare the HH spiking model and the MHH spiking model by applying different stimuli. First, the individual current pulse is injected into the HH and MHH spiking models. The comparison between action potentials, current densities, and conductances is carried out. Second, the reverse single pulse stimulus and a series of pulse stimuli are applied to the two models. The effects of current density and action time on the production of the action potential are analyzed. Finally, the sinusoidal current stimulus acts on the two models. The various spiking behaviors are realized by adjusting the frequency of the sinusoidal stimulus. We experimentally demonstrate that the MHH spiking model generates more action potential than the HH spiking model and takes a short time to change the memductance. The reverse stimulus cannot activate the action potential in both models. The MHH spiking model performs smoother waveforms and a faster speed to return to the resting potential. The larger the external stimulus, the faster action potential generated, and the more noticeable change in conductances. Meanwhile, the MHH spiking model shows the various spiking patterns of neurons. |
format | Online Article Text |
id | pubmed-8496503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84965032021-10-08 Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors Fang, Xiaoyan Duan, Shukai Wang, Lidan Front Neurosci Neuroscience The Hodgkin-Huxley (HH) spiking neuron model reproduces the dynamic characteristics of the neuron by mimicking the action potential, ionic channels, and spiking behaviors. The memristor is a nonlinear device with variable resistance. In this paper, the memristor is introduced to the HH spiking model, and the memristive Hodgkin-Huxley spiking neuron model (MHH) is presented. We experimentally compare the HH spiking model and the MHH spiking model by applying different stimuli. First, the individual current pulse is injected into the HH and MHH spiking models. The comparison between action potentials, current densities, and conductances is carried out. Second, the reverse single pulse stimulus and a series of pulse stimuli are applied to the two models. The effects of current density and action time on the production of the action potential are analyzed. Finally, the sinusoidal current stimulus acts on the two models. The various spiking behaviors are realized by adjusting the frequency of the sinusoidal stimulus. We experimentally demonstrate that the MHH spiking model generates more action potential than the HH spiking model and takes a short time to change the memductance. The reverse stimulus cannot activate the action potential in both models. The MHH spiking model performs smoother waveforms and a faster speed to return to the resting potential. The larger the external stimulus, the faster action potential generated, and the more noticeable change in conductances. Meanwhile, the MHH spiking model shows the various spiking patterns of neurons. Frontiers Media S.A. 2021-09-23 /pmc/articles/PMC8496503/ /pubmed/34630019 http://dx.doi.org/10.3389/fnins.2021.730566 Text en Copyright © 2021 Fang, Duan and Wang. https://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) and the copyright owner(s) 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 Fang, Xiaoyan Duan, Shukai Wang, Lidan Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors |
title | Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors |
title_full | Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors |
title_fullStr | Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors |
title_full_unstemmed | Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors |
title_short | Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors |
title_sort | memristive hodgkin-huxley spiking neuron model for reproducing neuron behaviors |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496503/ https://www.ncbi.nlm.nih.gov/pubmed/34630019 http://dx.doi.org/10.3389/fnins.2021.730566 |
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