A cubic-quadratic phenomenological model explains the spiking, chaotic and bursting behaviors of neuron

In this manuscript, we present a two-dimensional phenomenological spiking neuron model. By analyzing the bifurcation diagram and phase portraits of the two-dimensional model, Andronov-Hopf bifurcation, saddle-point bifurcation and saddle-point on invariant circle bifurcation are discussed in detail. Based on the above analysis, a periodic input current is designed to simulate the basic firing mode of a single neuron. With the change of the input current frequency, the model can reproduce rich dynamical behaviors such as spike, bursts, and chaos.

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Publication Details

Journal
Scientific Reports
Published
2025-04-25
DOI
https://doi.org/10.1038/s41598-025-98381-6
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
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article

A cubic-quadratic phenomenological model explains the spiking, chaotic and bursting behaviors of neuron

Shuihan Qiu, Zengru Di, Yeyuge Chen
Scientific Reports
Neural dynamics and brain function
article

A cubic-quadratic phenomenological model explains the spiking, chaotic and bursting behaviors of neuron

Shuihan Qiu, Zengru Di, Yeyuge Chen
article en

Abstract

In this manuscript, we present a two-dimensional phenomenological spiking neuron model. By analyzing the bifurcation diagram and phase portraits of the two-dimensional model, Andronov-Hopf bifurcation, saddle-point bifurcation and saddle-point on invariant circle bifurcation are discussed in detail. Based on the above analysis, a periodic input current is designed to simulate the basic firing mode of a single neuron. With the change of the input current frequency, the model can reproduce rich dynamical behaviors such as spike, bursts, and chaos.

Scientific ReportsVol. 15(1)
Beijing Normal University (CN)
Openalex Percentile: Top 92%
Neural dynamics and brain function
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