Literature DB >> 33854644

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

Yumei Yang1, Jun Ma2,3, Ying Xu1, Ya Jia1.   

Abstract

Energy supply plays a key role in metabolism and signal transmission of biological individuals, neurons in a complex electromagnetic environment must be accompanied by the absorption and release of energy. In this paper, the discharge mode and the Hamiltonian energy are investigated within the Izhikevich neuronal model driven by external signals in the presence of electromagnetic induction. It is found that multiple electrical activity modes can be observed by changing external stimulus, and the Hamiltonian energy is more dependent on the discharge mode. In particular, there is a distinct shift and transition in the Hamiltonian energy when the discharge mode is switched quickly. Furthermore, the amplitude of periodic stimulus signal has a greater effect on the neuronal energy compared to the angular frequency, and the average Hamiltonian energy decreases when the discharge rhythm becomes higher. Based on the principle of energy minimization, the system should choose the minimum Hamiltonian energy when maintaining various trigger states to reduce the metabolic energy of signal processing in biological systems. Therefore, our results give the possible clues for predicting and selecting appropriate parameters, and help to understand the sudden and paroxysmal mechanisms of epilepsy symptoms. © Springer Nature B.V. 2020.

Entities:  

Keywords:  Electromagnetic induction; Hamiltonian energy; Izhikevich neuronal model; Mixed mode

Year:  2020        PMID: 33854644      PMCID: PMC7969689          DOI: 10.1007/s11571-020-09596-4

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  30 in total

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

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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.

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Journal:  Front Neurosci       Date:  2018-03-01       Impact factor: 4.677

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2.  Complex dynamics of hair bundle of auditory nervous system (II): forced oscillations related to two cases of steady state.

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3.  Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model.

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