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Energy estimation and coupling synchronization between biophysical neurons
Wu, FuQiang1; Ma, Jun1,2; Zhang, Ge1
刊名Science China Technological Sciences
2020-04-01
卷号63期号:4页码:625-636
关键词Brain Electric fields Electromagnetic induction Energy utilization Magnetic fields Synchronization Dynamical properties Electric field and magnetic field Electrical activities energy Memristor Phase synchronization Subthreshold oscillations Time-varying magnetic fields
ISSN号16747321
DOI10.1007/s11431-019-9670-1
英文摘要

Static charges can induce spatial electric field while moving charges can induce magnetic field. As a result, continuous pumping and exchange of intercellular and extracellular Calcium, potassium and sodium of cells will generate time-varying magnetic field in the media. Therefore, the physical effect of electromagnetic induction in neural activities should be included in building biological neurons. On the other hand, the occurrence of action potential and propagation of ions require energy consumption and supply, so the estimation of physical energy becomes important. Based on our memristive biophysical neuron model, the Hamilton energy function is obtained by using the Helmholtz’s theorem, and this energy is contributed by the electric field and magnetic field described by magnetic flux. It is found that this improved neuron model can present the main dynamical properties in neural activities, and it characterizes the lower threshold behavior and subthreshold oscillation during refractory period. The external forcing current on an isolate is adjusted to calculate the firing patterns, energy function and mode transition, which shows the dependence of energy on electrical activities. Finally, magnetic coupling is triggered to modulate the phase synchronization between two identical neurons connected by electric synapse, respectively. © 2019, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.

WOS研究方向Engineering ; Materials Science
语种英语
出版者Springer Verlag
WOS记录号WOS:000524243400011
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/115344]  
专题兰州理工大学
作者单位1.Department of Physics, Lanzhou University of Technology, Lanzhou; 730050, China;
2.NAAM-Research Group, King Abdulaziz University, Jeddah; 21589, Saudi Arabia
推荐引用方式
GB/T 7714
Wu, FuQiang,Ma, Jun,Zhang, Ge. Energy estimation and coupling synchronization between biophysical neurons[J]. Science China Technological Sciences,2020,63(4):625-636.
APA Wu, FuQiang,Ma, Jun,&Zhang, Ge.(2020).Energy estimation and coupling synchronization between biophysical neurons.Science China Technological Sciences,63(4),625-636.
MLA Wu, FuQiang,et al."Energy estimation and coupling synchronization between biophysical neurons".Science China Technological Sciences 63.4(2020):625-636.
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