Effects of induced electric field on the sensitivity of a two-compartment neuron model
Chunhua Yuan, Rupei Chen, Xiangyu Li
TL;DR
This paper studies how an electric field affects the firing sensitivity of a two-compartment neuron model.
Contribution
The study introduces a modified two-compartment neuron model to assess sensitivity to direct current-induced electric fields.
Findings
PR neurons show firing sensitivity to direct current-induced electric fields.
Different influence parameters significantly affect the neuron's sensitivity and firing state.
Bifurcation points were identified to analyze the relationship between firing rate and electric field intensity.
Abstract
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,…
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Taxonomy
Topicsstochastic dynamics and bifurcation · Neural dynamics and brain function · Neuroscience and Neural Engineering