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Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks
Neuronal networks in the brain are the structural basis of human cognitive function, and the plasticity of neuronal networks is thought to be the principal neural mechanism underlying learning and memory. Dominated by the Hebbian theory, researchers have devoted extensive effort to studying the chan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6256250/ https://www.ncbi.nlm.nih.gov/pubmed/30524259 http://dx.doi.org/10.3389/fncom.2018.00091 |
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author | Yuan, Ye Huo, Hong Zhao, Peng Liu, Jian Liu, Jiaxing Xing, Fu Fang, Tao |
author_facet | Yuan, Ye Huo, Hong Zhao, Peng Liu, Jian Liu, Jiaxing Xing, Fu Fang, Tao |
author_sort | Yuan, Ye |
collection | PubMed |
description | Neuronal networks in the brain are the structural basis of human cognitive function, and the plasticity of neuronal networks is thought to be the principal neural mechanism underlying learning and memory. Dominated by the Hebbian theory, researchers have devoted extensive effort to studying the changes in synaptic connections between neurons. However, understanding the network topology of all synaptic connections has been neglected over the past decades. Furthermore, increasing studies indicate that synaptic activities are tightly coupled with metabolic energy, and metabolic energy is a unifying principle governing neuronal activities. Therefore, the network topology of all synaptic connections may also be governed by metabolic energy. Here, by implementing a computational model, we investigate the general synaptic organization rules for neurons and neuronal networks from the perspective of energy metabolism. We find that to maintain the energy balance of individual neurons in the proposed model, the number of synaptic connections is inversely proportional to the average of the synaptic weights. This strategy may be adopted by neurons to ensure that the ability of neurons to transmit signals matches their own energy metabolism. In addition, we find that the density of neuronal networks is also an important factor in the energy balance of neuronal networks. An abnormal increase or decrease in the network density could lead to failure of energy metabolism in the neuronal network. These rules may change our view of neuronal networks in the brain and have guiding significance for the design of neuronal network models. |
format | Online Article Text |
id | pubmed-6256250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62562502018-12-06 Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks Yuan, Ye Huo, Hong Zhao, Peng Liu, Jian Liu, Jiaxing Xing, Fu Fang, Tao Front Comput Neurosci Neuroscience Neuronal networks in the brain are the structural basis of human cognitive function, and the plasticity of neuronal networks is thought to be the principal neural mechanism underlying learning and memory. Dominated by the Hebbian theory, researchers have devoted extensive effort to studying the changes in synaptic connections between neurons. However, understanding the network topology of all synaptic connections has been neglected over the past decades. Furthermore, increasing studies indicate that synaptic activities are tightly coupled with metabolic energy, and metabolic energy is a unifying principle governing neuronal activities. Therefore, the network topology of all synaptic connections may also be governed by metabolic energy. Here, by implementing a computational model, we investigate the general synaptic organization rules for neurons and neuronal networks from the perspective of energy metabolism. We find that to maintain the energy balance of individual neurons in the proposed model, the number of synaptic connections is inversely proportional to the average of the synaptic weights. This strategy may be adopted by neurons to ensure that the ability of neurons to transmit signals matches their own energy metabolism. In addition, we find that the density of neuronal networks is also an important factor in the energy balance of neuronal networks. An abnormal increase or decrease in the network density could lead to failure of energy metabolism in the neuronal network. These rules may change our view of neuronal networks in the brain and have guiding significance for the design of neuronal network models. Frontiers Media S.A. 2018-11-20 /pmc/articles/PMC6256250/ /pubmed/30524259 http://dx.doi.org/10.3389/fncom.2018.00091 Text en Copyright © 2018 Yuan, Huo, Zhao, Liu, Liu, Xing and Fang. http://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 Yuan, Ye Huo, Hong Zhao, Peng Liu, Jian Liu, Jiaxing Xing, Fu Fang, Tao Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks |
title | Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks |
title_full | Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks |
title_fullStr | Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks |
title_full_unstemmed | Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks |
title_short | Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks |
title_sort | constraints of metabolic energy on the number of synaptic connections of neurons and the density of neuronal networks |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6256250/ https://www.ncbi.nlm.nih.gov/pubmed/30524259 http://dx.doi.org/10.3389/fncom.2018.00091 |
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