Literature DB >> 25640576

A new work mechanism on neuronal activity.

Rubin Wang1, Ichiro Tsuda, Zhikang Zhang.   

Abstract

By re-examining the neuronal activity energy model, we show the inadequacies in the current understanding of the energy consumption associated with neuron activity. Specifically, we show computationally that a neuron first absorbs and then consumes energy during firing action potential, and this result cannot be produced from any current neuron models 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 oxygen consumption is very small. We can also explain why external stimulation and perception emergence are synchronized. We also show that negative energy presence in neurons at the sub-threshold state is an essential reason that leads to blood flow incremental response time in the brain rather than neural excitation to delay.

Entities:  

Keywords:  Action potential; information coding; negative neuronal energy; neural energy field; neuronal energy coding

Mesh:

Year:  2014        PMID: 25640576     DOI: 10.1142/S0129065714500373

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  15 in total

1.  Effect of different glucose supply conditions on neuronal energy metabolism.

Authors:  Hongwen Zheng; Rubin Wang; Jingyi Qu
Journal:  Cogn Neurodyn       Date:  2016-08-25       Impact factor: 5.082

2.  Ionic channel blockage in stochastic Hodgkin-Huxley neuronal model driven by multiple oscillatory signals.

Authors:  Xiuying Zhou; Ying Xu; Guowei Wang; Ya Jia
Journal:  Cogn Neurodyn       Date:  2020-05-04       Impact factor: 5.082

3.  Energy features in spontaneous up and down oscillations.

Authors:  Yihong Wang; Xuying Xu; Rubin Wang
Journal:  Cogn Neurodyn       Date:  2020-05-29       Impact factor: 5.082

4.  Research progress of neurodynamics in China.

Authors:  Rubin Wang; Xiaochuan Pan
Journal:  Cogn Neurodyn       Date:  2021-02-27       Impact factor: 5.082

5.  Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction.

Authors:  Yumei Yang; Jun Ma; Ying Xu; Ya Jia
Journal:  Cogn Neurodyn       Date:  2020-05-11       Impact factor: 5.082

6.  Optimal path-finding through mental exploration based on neural energy field gradients.

Authors:  Yihong Wang; Rubin Wang; Yating Zhu
Journal:  Cogn Neurodyn       Date:  2016-09-30       Impact factor: 5.082

7.  Neural Energy Supply-Consumption Properties Based on Hodgkin-Huxley Model.

Authors:  Yihong Wang; Rubin Wang; Xuying Xu
Journal:  Neural Plast       Date:  2017-02-16       Impact factor: 3.599

8.  Memory retention in pyramidal neurons: a unified model of energy-based homo and heterosynaptic plasticity with homeostasis.

Authors:  Huanwen Chen; Lijuan Xie; Yijun Wang; Hang Zhang
Journal:  Cogn Neurodyn       Date:  2020-11-17       Impact factor: 3.473

Review 9.  Can the activities of the large scale cortical network be expressed by neural energy? A brief review.

Authors:  Rubin Wang; Yating Zhu
Journal:  Cogn Neurodyn       Date:  2015-09-03       Impact factor: 5.082

10.  The Energy Coding of a Structural Neural Network Based on the Hodgkin-Huxley Model.

Authors:  Zhenyu Zhu; Rubin Wang; Fengyun Zhu
Journal:  Front Neurosci       Date:  2018-03-01       Impact factor: 4.677

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