Effects of induced electric field on the sensitivity of a two-compartment neuron model

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.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-05-20
DOI
https://doi.org/10.1371/journal.pone.0324523
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of induced electric field on the sensitivity of a two-compartment neuron model

Xiangyu Li, Chunhua Yuan, R.B. Chen
PLoS ONE
stochastic dynamics and bifurcation
article

Effects of induced electric field on the sensitivity of a two-compartment neuron model

Xiangyu Li, Chunhua Yuan, R.B. Chen
article en

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, it was found that PR neurons exhibit firing sensitivity to the DC-IEF. Furthermore, different influence parameters significantly affect their sensitivity and firing state.

PLoS ONEVol. 20(5)
Shenyang Ligong University (CN)
National Natural Science Foundation of China, Scientific Research Fund of Liaoning Provincial Education Department
Affordable and clean energy
Openalex Percentile: Top 91%
stochastic dynamics and bifurcation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.