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Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model
Electrical activity is the foundation of the neural system. Coding theories that describe neural electrical activity by the roles of action potential timing or frequency have been thoroughly studied. However, an alternative method to study coding questions is the energy method, which is more global...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337805/ https://www.ncbi.nlm.nih.gov/pubmed/28316842 http://dx.doi.org/10.1155/2017/6207141 |
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author | Wang, Yihong Wang, Rubin Xu, Xuying |
author_facet | Wang, Yihong Wang, Rubin Xu, Xuying |
author_sort | Wang, Yihong |
collection | PubMed |
description | Electrical activity is the foundation of the neural system. Coding theories that describe neural electrical activity by the roles of action potential timing or frequency have been thoroughly studied. However, an alternative method to study coding questions is the energy method, which is more global and economical. In this study, we clearly defined and calculated neural energy supply and consumption based on the Hodgkin-Huxley model, during firing action potentials and subthreshold activities using ion-counting and power-integral model. Furthermore, we analyzed energy properties of each ion channel and found that, under the two circumstances, power synchronization of ion channels and energy utilization ratio have significant differences. This is particularly true of the energy utilization ratio, which can rise to above 100% during subthreshold activity, revealing an overdraft property of energy use. These findings demonstrate the distinct status of the energy properties during neuronal firings and subthreshold activities. Meanwhile, after introducing a synapse energy model, this research can be generalized to energy calculation of a neural network. This is potentially important for understanding the relationship between dynamical network activities and cognitive behaviors. |
format | Online Article Text |
id | pubmed-5337805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-53378052017-03-19 Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model Wang, Yihong Wang, Rubin Xu, Xuying Neural Plast Research Article Electrical activity is the foundation of the neural system. Coding theories that describe neural electrical activity by the roles of action potential timing or frequency have been thoroughly studied. However, an alternative method to study coding questions is the energy method, which is more global and economical. In this study, we clearly defined and calculated neural energy supply and consumption based on the Hodgkin-Huxley model, during firing action potentials and subthreshold activities using ion-counting and power-integral model. Furthermore, we analyzed energy properties of each ion channel and found that, under the two circumstances, power synchronization of ion channels and energy utilization ratio have significant differences. This is particularly true of the energy utilization ratio, which can rise to above 100% during subthreshold activity, revealing an overdraft property of energy use. These findings demonstrate the distinct status of the energy properties during neuronal firings and subthreshold activities. Meanwhile, after introducing a synapse energy model, this research can be generalized to energy calculation of a neural network. This is potentially important for understanding the relationship between dynamical network activities and cognitive behaviors. Hindawi Publishing Corporation 2017 2017-02-16 /pmc/articles/PMC5337805/ /pubmed/28316842 http://dx.doi.org/10.1155/2017/6207141 Text en Copyright © 2017 Yihong Wang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Yihong Wang, Rubin Xu, Xuying Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model |
title | Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model |
title_full | Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model |
title_fullStr | Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model |
title_full_unstemmed | Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model |
title_short | Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model |
title_sort | neural energy supply-consumption properties based on hodgkin-huxley model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337805/ https://www.ncbi.nlm.nih.gov/pubmed/28316842 http://dx.doi.org/10.1155/2017/6207141 |
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