基于信息编码的神经能量计算

王如彬; 张志康

doi:10.6052/0459-1879-11-340

基于信息编码的神经能量计算

doi: 10.6052/0459-1879-11-340

华东理工大学理学院和信息学院认知神经动力学研究所, 上海 200237

基金项目: 国家自然科学基金(10672057,10872068)和教育部中央高校基本科研业务费专项资金资助项目.

详细信息

中图分类号: Q189
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出版历程
- 收稿日期: 2011-11-21
- 修回日期: 2011-12-07
- 刊出日期: 2012-07-18

COMPUTATION OF NEURONAL ENERGY BASED ON INFORMATION CODING

Institute for Cognitive Neurodynamics, School of Science and School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

Funds: The project was supported by the National Natural Science Foundation of China (10672057, 10872068) and the Fundamental Research Funds for the Central University.

摘要

摘要: 通过神经元活动期间神经能量的计算, 发现关于神经元的活动需要消耗能量的观点并不完整. 计算表明神经元在动作电位发放期间先吸收能量然后再消耗能量. 依据这个重要发现, 能够解释当脑内神经元被激活时脑血流量大幅增加而耗氧量却增加很少这一难以解释的神经生理学现象. 同时还能够解释外部刺激信息和知觉的产生会有同步效应这一认知神经科学界也难以解释的现象.
- 信息编码 /
- 动作电位 /
- 神经元能量 /
- 氧消耗 /
- 能量场
Abstract: By re-examining the energy model for neuronal activities, we show the inadequacy in the current understanding of the energy consumption associated with the activity of a neuron. Specifically, we show computationally that a neuron first absorbs energy and then consumes energy during firing action, and this result cannot be produced from any current models of neurons or biological neural networks. Based on this finding, we provide an explanation for the observation that when neurons are excited in the brain, blood flow increases significantly while the incremental consumption of oxygen is very small. We can also explain why external stimulation and perceptual emergence are synchronized.
- action potential /
- neuronal energy /
- information coding /
- oxygen consumption /
- energy field

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