Energy Distribution Property and Energy Coding of a Structural Neural Network
Studying neural coding through neural energy is a novel view. In this paper, based on previously proposed single neuron model, the correlation between the energy consumption and the parameters of the cortex networks (amount of neurons, coupling strength, and transform delay) under an oscillational c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2014-02-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00014/full |
| _version_ | 1818920406643376128 |
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| author | Rubin eWang Ziyin eWang |
| author_facet | Rubin eWang Ziyin eWang |
| author_sort | Rubin eWang |
| collection | DOAJ |
| description | Studying neural coding through neural energy is a novel view. In this paper, based on previously proposed single neuron model, the correlation between the energy consumption and the parameters of the cortex networks (amount of neurons, coupling strength, and transform delay) under an oscillational condition were researched. We found that energy distribution varies orderly as these parameters change, and it is closely related to the synchronous oscillation of the neural network. Besides, we compared this method with traditional method of relative coefficient, which shows energy method works equal to or better than the traditional one. It is novel that the synchronous activity and neural network parameters could be researched by assessing energy distribution and consumption. Therefore the conclusion of this paper will refine the framework of neural coding theory and contribute to our understanding of the coding mechanism of the cerebral cortex. It provides a strong theoretical foundation of a novel neural coding theory - energy coding. |
| first_indexed | 2024-12-20T01:21:15Z |
| format | Article |
| id | doaj.art-f8e6e63dfad84c7a9fc796e1956f8613 |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-12-20T01:21:15Z |
| publishDate | 2014-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-f8e6e63dfad84c7a9fc796e1956f86132022-12-21T19:58:25ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882014-02-01810.3389/fncom.2014.0001467848Energy Distribution Property and Energy Coding of a Structural Neural NetworkRubin eWang0Ziyin eWang1East China University of Science and technologyEast China University of Science and technologyStudying neural coding through neural energy is a novel view. In this paper, based on previously proposed single neuron model, the correlation between the energy consumption and the parameters of the cortex networks (amount of neurons, coupling strength, and transform delay) under an oscillational condition were researched. We found that energy distribution varies orderly as these parameters change, and it is closely related to the synchronous oscillation of the neural network. Besides, we compared this method with traditional method of relative coefficient, which shows energy method works equal to or better than the traditional one. It is novel that the synchronous activity and neural network parameters could be researched by assessing energy distribution and consumption. Therefore the conclusion of this paper will refine the framework of neural coding theory and contribute to our understanding of the coding mechanism of the cerebral cortex. It provides a strong theoretical foundation of a novel neural coding theory - energy coding.http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00014/fullnetwork parametersstructural neural networkneural energynegative energyenergy coding |
| spellingShingle | Rubin eWang Ziyin eWang Energy Distribution Property and Energy Coding of a Structural Neural Network Frontiers in Computational Neuroscience network parameters structural neural network neural energy negative energy energy coding |
| title | Energy Distribution Property and Energy Coding of a Structural Neural Network |
| title_full | Energy Distribution Property and Energy Coding of a Structural Neural Network |
| title_fullStr | Energy Distribution Property and Energy Coding of a Structural Neural Network |
| title_full_unstemmed | Energy Distribution Property and Energy Coding of a Structural Neural Network |
| title_short | Energy Distribution Property and Energy Coding of a Structural Neural Network |
| title_sort | energy distribution property and energy coding of a structural neural network |
| topic | network parameters structural neural network neural energy negative energy energy coding |
| url | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00014/full |
| work_keys_str_mv | AT rubinewang energydistributionpropertyandenergycodingofastructuralneuralnetwork AT ziyinewang energydistributionpropertyandenergycodingofastructuralneuralnetwork |