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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...

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Detalles Bibliográficos
Autores principales: Wang, Yihong, Wang, Rubin, Xu, Xuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
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.
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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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