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Auteur principal: Zhang, Wu-Fei
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2511.20670
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author Zhang, Wu-Fei
author_facet Zhang, Wu-Fei
contents The Adaptive Exponential Integrate-and-Fire (AdEx) model is a simplified framework that effectively characterizes neuronal electrical activity. The aim of this paper is to employ phase plane analysis to systematically investigate diverse firing patterns generated by the AdEx model under varying parametric conditions. We first introduce the fundamental equations and parameter configurations of the AdEx model to numerically simulate the six representative firing patterns in the AdEx model. And then we use phase plane analysis to explore the dynamic mechanism of these firing patterns under different input currents and parametric conditions. Our findings demonstrate that the AdEx model can simulate multiple firing patterns, including Tonic Spiking, Adapting, Initial Bursting, Busting, Transient Spiking and Delayed Spiking firing patterns. These results not only advance the understanding of complex electrophysiological phenomena in neurons but also provide theoretical foundations for applications in many fields like neuromorphic computing and brain-computer interfaces.
format Preprint
id arxiv_https___arxiv_org_abs_2511_20670
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Phase Plane Analysis of Firing Patterns in the Adaptive Exponential Integrate-and-Fire Model
Zhang, Wu-Fei
Neurons and Cognition
Biological Physics
The Adaptive Exponential Integrate-and-Fire (AdEx) model is a simplified framework that effectively characterizes neuronal electrical activity. The aim of this paper is to employ phase plane analysis to systematically investigate diverse firing patterns generated by the AdEx model under varying parametric conditions. We first introduce the fundamental equations and parameter configurations of the AdEx model to numerically simulate the six representative firing patterns in the AdEx model. And then we use phase plane analysis to explore the dynamic mechanism of these firing patterns under different input currents and parametric conditions. Our findings demonstrate that the AdEx model can simulate multiple firing patterns, including Tonic Spiking, Adapting, Initial Bursting, Busting, Transient Spiking and Delayed Spiking firing patterns. These results not only advance the understanding of complex electrophysiological phenomena in neurons but also provide theoretical foundations for applications in many fields like neuromorphic computing and brain-computer interfaces.
title Phase Plane Analysis of Firing Patterns in the Adaptive Exponential Integrate-and-Fire Model
topic Neurons and Cognition
Biological Physics
url https://arxiv.org/abs/2511.20670