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Wang Rubin, Zhang Zhikang. COMPUTATION OF NEURONAL ENERGY BASED ON INFORMATION CODING[J]. Chinese Journal of Theoretical and Applied Mechanics, 2012, (4): 779-786. DOI: 10.6052/0459-1879-11-340
Citation: Wang Rubin, Zhang Zhikang. COMPUTATION OF NEURONAL ENERGY BASED ON INFORMATION CODING[J]. Chinese Journal of Theoretical and Applied Mechanics, 2012, (4): 779-786. DOI: 10.6052/0459-1879-11-340
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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.
  • Received Date: November 20, 2011
  • Revised Date: December 06, 2011
    Graphical Abstract
    • 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.
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    • References (30)
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