Research on action behavior of neuron system in case of single pulse stimulus
Facing on the complex electromagnetic environment of electrical equipment, based on the bio-anti-interference characteristics of neuron system, the bio-inspired electromagnetic protection is proposed in order to improve and assist the traditional electromagnetic protection method. In order to analyz...
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| Veröffentlicht in: | Scientific reports 2020-01, Vol.10 (1), p.1240-1240, Article 1240 |
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| creator | Zhang, Mingliang Man, Menghua Ma, Guilei Ye, Meiyu Liu, Shanghe |
| description | Facing on the complex electromagnetic environment of electrical equipment, based on the bio-anti-interference characteristics of neuron system, the bio-inspired electromagnetic protection is proposed in order to improve and assist the traditional electromagnetic protection method. In order to analyze the dynamical characteristics of electrical signal transfer process of neuron system, Hodgkin-Huxley (HH) model is adopted to calculate the action potential of single neuron. The initial value problem used in the parameters of Hodgkin-Huxley model is studied in order to satisfy the physiological phenomenon. The stability of HH model is analyzed to assess the dynamic stable performance of neuron. Based on the investigation of single neuron, a simple neuron system consisted of two neurons and one synapse is studied. The compassion between the action potential of posterior neuron and different synapse is performed, which explores how the mathematic models of different synapses influence the action potential. The relationship between action potential of posterior neuron and coupling strength of simplified synapse is calculated to explain the diversity of electrical signal output of neuron system. These numerical results enable to provide some datum for deeply developing the bio-inspired electromagnetic protection and well designing the bio-inspired circuit. |
| doi_str_mv | 10.1038/s41598-020-58100-9 |
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In order to analyze the dynamical characteristics of electrical signal transfer process of neuron system, Hodgkin-Huxley (HH) model is adopted to calculate the action potential of single neuron. The initial value problem used in the parameters of Hodgkin-Huxley model is studied in order to satisfy the physiological phenomenon. The stability of HH model is analyzed to assess the dynamic stable performance of neuron. Based on the investigation of single neuron, a simple neuron system consisted of two neurons and one synapse is studied. The compassion between the action potential of posterior neuron and different synapse is performed, which explores how the mathematic models of different synapses influence the action potential. The relationship between action potential of posterior neuron and coupling strength of simplified synapse is calculated to explain the diversity of electrical signal output of neuron system. 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In order to analyze the dynamical characteristics of electrical signal transfer process of neuron system, Hodgkin-Huxley (HH) model is adopted to calculate the action potential of single neuron. The initial value problem used in the parameters of Hodgkin-Huxley model is studied in order to satisfy the physiological phenomenon. The stability of HH model is analyzed to assess the dynamic stable performance of neuron. Based on the investigation of single neuron, a simple neuron system consisted of two neurons and one synapse is studied. The compassion between the action potential of posterior neuron and different synapse is performed, which explores how the mathematic models of different synapses influence the action potential. The relationship between action potential of posterior neuron and coupling strength of simplified synapse is calculated to explain the diversity of electrical signal output of neuron system. 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Man, Menghua ; Ma, Guilei ; Ye, Meiyu ; Liu, Shanghe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-8fc5cfd7cd7dc13b7f9173a1729ed84bc765c7658ae7fb1f07d796da77ffd1723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>631/1647/2204/1453/1971</topic><topic>631/378/116/2393</topic><topic>Action potential</topic><topic>Action Potentials</topic><topic>Computer Simulation</topic><topic>Electrical equipment</topic><topic>Electrical Synapses - physiology</topic><topic>Electromagnetic Fields - adverse effects</topic><topic>Electromagnetic Radiation</topic><topic>Hodgkin-Huxley model</topic><topic>Humanities and Social Sciences</topic><topic>Investigations</topic><topic>Laboratories</topic><topic>Mathematical models</topic><topic>Models, Neurological</topic><topic>Models, Statistical</topic><topic>multidisciplinary</topic><topic>Nerve Net - physiology</topic><topic>Neurons</topic><topic>Neurons - physiology</topic><topic>Physiology</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Synapses</topic><topic>Synaptic Potentials - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Mingliang</creatorcontrib><creatorcontrib>Man, Menghua</creatorcontrib><creatorcontrib>Ma, Guilei</creatorcontrib><creatorcontrib>Ye, Meiyu</creatorcontrib><creatorcontrib>Liu, Shanghe</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Mingliang</au><au>Man, Menghua</au><au>Ma, Guilei</au><au>Ye, Meiyu</au><au>Liu, Shanghe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on action behavior of neuron system in case of single pulse stimulus</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-01-27</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>1240</spage><epage>1240</epage><pages>1240-1240</pages><artnum>1240</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Facing on the complex electromagnetic environment of electrical equipment, based on the bio-anti-interference characteristics of neuron system, the bio-inspired electromagnetic protection is proposed in order to improve and assist the traditional electromagnetic protection method. In order to analyze the dynamical characteristics of electrical signal transfer process of neuron system, Hodgkin-Huxley (HH) model is adopted to calculate the action potential of single neuron. The initial value problem used in the parameters of Hodgkin-Huxley model is studied in order to satisfy the physiological phenomenon. The stability of HH model is analyzed to assess the dynamic stable performance of neuron. Based on the investigation of single neuron, a simple neuron system consisted of two neurons and one synapse is studied. The compassion between the action potential of posterior neuron and different synapse is performed, which explores how the mathematic models of different synapses influence the action potential. The relationship between action potential of posterior neuron and coupling strength of simplified synapse is calculated to explain the diversity of electrical signal output of neuron system. These numerical results enable to provide some datum for deeply developing the bio-inspired electromagnetic protection and well designing the bio-inspired circuit.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31988377</pmid><doi>10.1038/s41598-020-58100-9</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0618-4763</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | 631/1647/2204/1453/1971 631/378/116/2393 Action potential Action Potentials Computer Simulation Electrical equipment Electrical Synapses - physiology Electromagnetic Fields - adverse effects Electromagnetic Radiation Hodgkin-Huxley model Humanities and Social Sciences Investigations Laboratories Mathematical models Models, Neurological Models, Statistical multidisciplinary Nerve Net - physiology Neurons Neurons - physiology Physiology Science Science (multidisciplinary) Synapses Synaptic Potentials - physiology |
| title | Research on action behavior of neuron system in case of single pulse stimulus |
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