Yuan Chunhua, Chen Rupei, Li Xiangyu
School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, China.
PLoS One. 2025 May 20;20(5):e0324523. doi: 10.1371/journal.pone.0324523. eCollection 2025.
Sensitivity is one of the key characteristics of neurons in response to external stimuli. This study is based on a two-compartment Pinsky-Rinzel neuron model, which has been modified under the influence of a direct current induced electric field(DC-IEF). The research explores how this neuron model encodes stimuli from the DC-IEF, aiming to assess its sensitivity to firing in response to the induced electric field. Based on the two-compartment structural characteristics of the PR model neuron, the influence parameters of the model are altered under specific direct current stimulation to identify the state bifurcation points of the neuron at different parameters. At these bifurcation points, a DC-IEF is applied, and a planar graph is constructed to illustrate the relationship among firing rate, influence parameters, and electric field intensity. Through the analysis of the obtained data, it was found that PR neurons exhibit firing sensitivity to the DC-IEF. Furthermore, different influence parameters significantly affect their sensitivity and firing state.
敏感性是神经元对外界刺激作出反应的关键特性之一。本研究基于一个双室Pinsky-Rinzel神经元模型,该模型在直流感应电场(DC-IEF)的影响下进行了修正。该研究探索了这个神经元模型如何对来自DC-IEF的刺激进行编码,旨在评估其对感应电场激发的敏感性。基于PR模型神经元的双室结构特征,在特定直流刺激下改变模型的影响参数,以确定神经元在不同参数下的状态分岔点。在这些分岔点处,施加DC-IEF,并构建平面图以说明激发率、影响参数和电场强度之间的关系。通过对所得数据的分析,发现PR神经元对DC-IEF表现出激发敏感性。此外,不同的影响参数显著影响它们的敏感性和激发状态。
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