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On-line Access: 2023-02-24

Received: 2022-10-04

Revision Accepted: 2022-10-27

Crosschecked: 2023-02-24

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Citations:  Bibtex RefMan EndNote GB/T7714


Jun Ma


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Journal of Zhejiang University SCIENCE A 2023 Vol.24 No.2 P.109-129


Biophysical neurons, energy, and synapse controllability: a review

Author(s):  Jun MA

Affiliation(s):  Department of Physics, Lanzhou University of Technology, Lanzhou 730050, China; more

Corresponding email(s):   hyperchaos@163.com, hyperchaos@lut.edu.cn

Key Words:  Energy balance, Creation of synapse, Functional neuron, Heterogeneity, Defects

Jun MA. Biophysical neurons, energy, and synapse controllability: a review[J]. Journal of Zhejiang University Science A, 2023, 24(2): 109-129.

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%A Jun MA
%J Journal of Zhejiang University SCIENCE A
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%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2200469

T1 - Biophysical neurons, energy, and synapse controllability: a review
A1 - Jun MA
J0 - Journal of Zhejiang University Science A
VL - 24
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%@ 1673-565X
Y1 - 2023
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2200469

Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that regulates membrane potential, and energy injection from external stimuli breaks the energy balance between the magnetic and electric fields in a cell. Indeed, any activation of biophysical function and self-adaption of biological neurons may be dependent on energy flow, and synapse connection is controlled to reach energy balance between neurons. When more neurons are clustered and gathered closely, field energy is exchanged and shape formation is induced to achieve local energy balance. As a result, the coexistence of multiple firing modes in neural activities is fostered to prevent the occurrence of bursting synchronization and seizure. In this review, a variety of biophysical neuron models are presented and explained in terms of their physical aspects, and the controllability of functional synapses, formation of heterogeneity, and defects are clarified for knowing the synchronization stability and cooperation between functional regions. These models and findings are summarized to provide new insights into nonlinear physics and computational neuroscience.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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