Loading…

Estimate the electrical activity in a neuron under depolarization field

The physical electric variable is included into the known Hindmarsh-Rose (HR) model for estimating the depolarization field effect and then external current forcing is applied to detect the firing responses. Based on the proposed model, the effects of the amplitude and frequency of the sinusoidal cu...

Full description

Saved in:
Bibliographic Details
Published in:Chaos, solitons and fractals solitons and fractals, 2021-01, Vol.142, p.110522, Article 110522
Main Authors: Hou, Zhangliang, Ma, Jun, Zhan, Xuan, Yang, Lijian, Jia, Ya
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c303t-76ce6568880e7f38fe910ec2fd0825531911f06bfd054aac74e1683d6ae70f213
cites cdi_FETCH-LOGICAL-c303t-76ce6568880e7f38fe910ec2fd0825531911f06bfd054aac74e1683d6ae70f213
container_end_page
container_issue
container_start_page 110522
container_title Chaos, solitons and fractals
container_volume 142
creator Hou, Zhangliang
Ma, Jun
Zhan, Xuan
Yang, Lijian
Jia, Ya
description The physical electric variable is included into the known Hindmarsh-Rose (HR) model for estimating the depolarization field effect and then external current forcing is applied to detect the firing responses. Based on the proposed model, the effects of the amplitude and frequency of the sinusoidal current on the firing mode of the neuron are studied by using bifurcation analysis. It is found that there is a peak of firing interval of neurons with the increasing of stimulation current intensity. In the presence of electric field, the firing pattern of neuron is transformed from single busting to intermittent multimodal busting with the increasing of frequency and amplitude of electric field. The largest Lyapunov exponent is drawn for verification. In the absence of electric field, the two neurons coupled in the first variable achieve synchronization in busting mode. If there is an external electric field, the two neurons can achieve intermittent multimodal busting firing synchronization even without direct variable couple since the energy is injected into the coupled system by the external electric field. Our results show that the periodic external electric field and external current stimulation play an important role in the neuronal firing pattern.
doi_str_mv 10.1016/j.chaos.2020.110522
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_chaos_2020_110522</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0960077920309140</els_id><sourcerecordid>S0960077920309140</sourcerecordid><originalsourceid>FETCH-LOGICAL-c303t-76ce6568880e7f38fe910ec2fd0825531911f06bfd054aac74e1683d6ae70f213</originalsourceid><addsrcrecordid>eNp9kMFKAzEQhoMoWKtP4CUvsHWSdJPswYOUWoWCFz2HmExoyrpbkrRQn97UevY0zA_f8M9HyD2DGQMmH7Yzt7FjnnHgNWHQcn5BJkwr0XCt1SWZQCehAaW6a3KT8xYAGEg-IatlLvHLFqRlgxR7dCVFZ3tqXYmHWI40DtTSAfdpHOh-8Jiox93Y2xS_bYk1DBF7f0uugu0z3v3NKfl4Xr4vXpr12-p18bRunABRGiUdylZqrQFVEDpgxwAdDx40b1vBOsYCyM-6t3NrnZojk1p4aVFB4ExMiTjfdWnMOWEwu1T7p6NhYE4uzNb8ujAnF-bsolKPZwprtUPEZLKLODj0MdWPjR_jv_wPL-Jo1A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Estimate the electrical activity in a neuron under depolarization field</title><source>Elsevier</source><creator>Hou, Zhangliang ; Ma, Jun ; Zhan, Xuan ; Yang, Lijian ; Jia, Ya</creator><creatorcontrib>Hou, Zhangliang ; Ma, Jun ; Zhan, Xuan ; Yang, Lijian ; Jia, Ya</creatorcontrib><description>The physical electric variable is included into the known Hindmarsh-Rose (HR) model for estimating the depolarization field effect and then external current forcing is applied to detect the firing responses. Based on the proposed model, the effects of the amplitude and frequency of the sinusoidal current on the firing mode of the neuron are studied by using bifurcation analysis. It is found that there is a peak of firing interval of neurons with the increasing of stimulation current intensity. In the presence of electric field, the firing pattern of neuron is transformed from single busting to intermittent multimodal busting with the increasing of frequency and amplitude of electric field. The largest Lyapunov exponent is drawn for verification. In the absence of electric field, the two neurons coupled in the first variable achieve synchronization in busting mode. If there is an external electric field, the two neurons can achieve intermittent multimodal busting firing synchronization even without direct variable couple since the energy is injected into the coupled system by the external electric field. Our results show that the periodic external electric field and external current stimulation play an important role in the neuronal firing pattern.</description><identifier>ISSN: 0960-0779</identifier><identifier>EISSN: 1873-2887</identifier><identifier>DOI: 10.1016/j.chaos.2020.110522</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Coefficient variability ; Electric field ; Hindmarsh-Rose neuron ; Synchronization ; Synchronous firing</subject><ispartof>Chaos, solitons and fractals, 2021-01, Vol.142, p.110522, Article 110522</ispartof><rights>2020 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c303t-76ce6568880e7f38fe910ec2fd0825531911f06bfd054aac74e1683d6ae70f213</citedby><cites>FETCH-LOGICAL-c303t-76ce6568880e7f38fe910ec2fd0825531911f06bfd054aac74e1683d6ae70f213</cites><orcidid>0000-0002-2818-9074 ; 0000-0002-6127-000X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hou, Zhangliang</creatorcontrib><creatorcontrib>Ma, Jun</creatorcontrib><creatorcontrib>Zhan, Xuan</creatorcontrib><creatorcontrib>Yang, Lijian</creatorcontrib><creatorcontrib>Jia, Ya</creatorcontrib><title>Estimate the electrical activity in a neuron under depolarization field</title><title>Chaos, solitons and fractals</title><description>The physical electric variable is included into the known Hindmarsh-Rose (HR) model for estimating the depolarization field effect and then external current forcing is applied to detect the firing responses. Based on the proposed model, the effects of the amplitude and frequency of the sinusoidal current on the firing mode of the neuron are studied by using bifurcation analysis. It is found that there is a peak of firing interval of neurons with the increasing of stimulation current intensity. In the presence of electric field, the firing pattern of neuron is transformed from single busting to intermittent multimodal busting with the increasing of frequency and amplitude of electric field. The largest Lyapunov exponent is drawn for verification. In the absence of electric field, the two neurons coupled in the first variable achieve synchronization in busting mode. If there is an external electric field, the two neurons can achieve intermittent multimodal busting firing synchronization even without direct variable couple since the energy is injected into the coupled system by the external electric field. Our results show that the periodic external electric field and external current stimulation play an important role in the neuronal firing pattern.</description><subject>Coefficient variability</subject><subject>Electric field</subject><subject>Hindmarsh-Rose neuron</subject><subject>Synchronization</subject><subject>Synchronous firing</subject><issn>0960-0779</issn><issn>1873-2887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kMFKAzEQhoMoWKtP4CUvsHWSdJPswYOUWoWCFz2HmExoyrpbkrRQn97UevY0zA_f8M9HyD2DGQMmH7Yzt7FjnnHgNWHQcn5BJkwr0XCt1SWZQCehAaW6a3KT8xYAGEg-IatlLvHLFqRlgxR7dCVFZ3tqXYmHWI40DtTSAfdpHOh-8Jiox93Y2xS_bYk1DBF7f0uugu0z3v3NKfl4Xr4vXpr12-p18bRunABRGiUdylZqrQFVEDpgxwAdDx40b1vBOsYCyM-6t3NrnZojk1p4aVFB4ExMiTjfdWnMOWEwu1T7p6NhYE4uzNb8ujAnF-bsolKPZwprtUPEZLKLODj0MdWPjR_jv_wPL-Jo1A</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Hou, Zhangliang</creator><creator>Ma, Jun</creator><creator>Zhan, Xuan</creator><creator>Yang, Lijian</creator><creator>Jia, Ya</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-2818-9074</orcidid><orcidid>https://orcid.org/0000-0002-6127-000X</orcidid></search><sort><creationdate>202101</creationdate><title>Estimate the electrical activity in a neuron under depolarization field</title><author>Hou, Zhangliang ; Ma, Jun ; Zhan, Xuan ; Yang, Lijian ; Jia, Ya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-76ce6568880e7f38fe910ec2fd0825531911f06bfd054aac74e1683d6ae70f213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Coefficient variability</topic><topic>Electric field</topic><topic>Hindmarsh-Rose neuron</topic><topic>Synchronization</topic><topic>Synchronous firing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hou, Zhangliang</creatorcontrib><creatorcontrib>Ma, Jun</creatorcontrib><creatorcontrib>Zhan, Xuan</creatorcontrib><creatorcontrib>Yang, Lijian</creatorcontrib><creatorcontrib>Jia, Ya</creatorcontrib><collection>CrossRef</collection><jtitle>Chaos, solitons and fractals</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hou, Zhangliang</au><au>Ma, Jun</au><au>Zhan, Xuan</au><au>Yang, Lijian</au><au>Jia, Ya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimate the electrical activity in a neuron under depolarization field</atitle><jtitle>Chaos, solitons and fractals</jtitle><date>2021-01</date><risdate>2021</risdate><volume>142</volume><spage>110522</spage><pages>110522-</pages><artnum>110522</artnum><issn>0960-0779</issn><eissn>1873-2887</eissn><abstract>The physical electric variable is included into the known Hindmarsh-Rose (HR) model for estimating the depolarization field effect and then external current forcing is applied to detect the firing responses. Based on the proposed model, the effects of the amplitude and frequency of the sinusoidal current on the firing mode of the neuron are studied by using bifurcation analysis. It is found that there is a peak of firing interval of neurons with the increasing of stimulation current intensity. In the presence of electric field, the firing pattern of neuron is transformed from single busting to intermittent multimodal busting with the increasing of frequency and amplitude of electric field. The largest Lyapunov exponent is drawn for verification. In the absence of electric field, the two neurons coupled in the first variable achieve synchronization in busting mode. If there is an external electric field, the two neurons can achieve intermittent multimodal busting firing synchronization even without direct variable couple since the energy is injected into the coupled system by the external electric field. Our results show that the periodic external electric field and external current stimulation play an important role in the neuronal firing pattern.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.chaos.2020.110522</doi><orcidid>https://orcid.org/0000-0002-2818-9074</orcidid><orcidid>https://orcid.org/0000-0002-6127-000X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0960-0779
ispartof Chaos, solitons and fractals, 2021-01, Vol.142, p.110522, Article 110522
issn 0960-0779
1873-2887
language eng
recordid cdi_crossref_primary_10_1016_j_chaos_2020_110522
source Elsevier
subjects Coefficient variability
Electric field
Hindmarsh-Rose neuron
Synchronization
Synchronous firing
title Estimate the electrical activity in a neuron under depolarization field
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T14%3A32%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimate%20the%20electrical%20activity%20in%20a%20neuron%20under%20depolarization%20field&rft.jtitle=Chaos,%20solitons%20and%20fractals&rft.au=Hou,%20Zhangliang&rft.date=2021-01&rft.volume=142&rft.spage=110522&rft.pages=110522-&rft.artnum=110522&rft.issn=0960-0779&rft.eissn=1873-2887&rft_id=info:doi/10.1016/j.chaos.2020.110522&rft_dat=%3Celsevier_cross%3ES0960077920309140%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c303t-76ce6568880e7f38fe910ec2fd0825531911f06bfd054aac74e1683d6ae70f213%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true