Tang Keming, Wang Zuolei, Shi Xuerong
School of Information Engineering, Yancheng Teachers University, Yancheng, China.
School of Mathematics and Statistics, Yancheng Teachers University, Yancheng, China.
Front Comput Neurosci. 2017 Nov 21;11:105. doi: 10.3389/fncom.2017.00105. eCollection 2017.
To investigate the effect of electromagnetic induction on the electrical activity of neuron, the variable for magnetic flow is used to improve Hindmarsh-Rose neuron model. Simultaneously, due to the existence of time-delay when signals are propagated between neurons or even in one neuron, it is important to study the role of time-delay in regulating the electrical activity of the neuron. For this end, a four-variable neuron model is proposed to investigate the effects of electromagnetic induction and time-delay. Simulation results suggest that the proposed neuron model can show multiple modes of electrical activity, which is dependent on the time-delay and external forcing current. It means that suitable discharge mode can be obtained by selecting the time-delay or external forcing current, which could be helpful for further investigation of electromagnetic radiation on biological neuronal system.
为了研究电磁感应对神经元电活动的影响,引入磁通量变量对Hindmarsh-Rose神经元模型进行改进。同时,由于神经元之间甚至单个神经元内信号传播时存在时间延迟,研究时间延迟在调节神经元电活动中的作用具有重要意义。为此,提出了一个四变量神经元模型来研究电磁感应和时间延迟的影响。仿真结果表明,所提出的神经元模型能够呈现多种电活动模式,这取决于时间延迟和外部强迫电流。这意味着通过选择时间延迟或外部强迫电流可以获得合适的放电模式,这有助于进一步研究电磁辐射对生物神经元系统的影响。