Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback Control

Spiking neuron models which exhibit rich dynamics are usually defined by hybrid dynamical systems. It is revealed that mathematical analysis of these models has important significance. Therefore, in this work, we provide a comprehensively qualitative analysis for a quadratic integrate-and-fire mode...

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Main Authors: Guangyao Tang, Jin Yang, Sanyi Tang
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2015/836402
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author Guangyao Tang
Jin Yang
Sanyi Tang
author_facet Guangyao Tang
Jin Yang
Sanyi Tang
author_sort Guangyao Tang
collection DOAJ
description Spiking neuron models which exhibit rich dynamics are usually defined by hybrid dynamical systems. It is revealed that mathematical analysis of these models has important significance. Therefore, in this work, we provide a comprehensively qualitative analysis for a quadratic integrate-and-fire model by using the theories of hybrid dynamical system. Firstly, the exact impulsive and phase sets are defined according to the phase portraits of the proposed model, and then the Poincaré map is constructed. Furthermore, the conditions for the existence and stability of an order 1 periodic solution are provided. Moreover, the existence and nonexistence of an order k  k≥2 periodic solution have been studied theoretically and numerically, and the results show that the system has periodic solutions with any period. Finally, some biological implications of the mathematical results are discussed.
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spelling doaj-art-d5ca18d1a15d4dc486f153a65cce655d2025-02-03T01:31:22ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/836402836402Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback ControlGuangyao Tang0Jin Yang1Sanyi Tang2Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, Hubei 445000, ChinaDepartment of Mathematics, Chongqing Jiaotong University, Chongqing 400074, ChinaCollege of Mathematics and Information Science, Shaanxi Normal University, Xi’an 710062, ChinaSpiking neuron models which exhibit rich dynamics are usually defined by hybrid dynamical systems. It is revealed that mathematical analysis of these models has important significance. Therefore, in this work, we provide a comprehensively qualitative analysis for a quadratic integrate-and-fire model by using the theories of hybrid dynamical system. Firstly, the exact impulsive and phase sets are defined according to the phase portraits of the proposed model, and then the Poincaré map is constructed. Furthermore, the conditions for the existence and stability of an order 1 periodic solution are provided. Moreover, the existence and nonexistence of an order k  k≥2 periodic solution have been studied theoretically and numerically, and the results show that the system has periodic solutions with any period. Finally, some biological implications of the mathematical results are discussed.http://dx.doi.org/10.1155/2015/836402
spellingShingle Guangyao Tang
Jin Yang
Sanyi Tang
Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback Control
Discrete Dynamics in Nature and Society
title Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback Control
title_full Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback Control
title_fullStr Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback Control
title_full_unstemmed Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback Control
title_short Qualitative Analysis of a Quadratic Integrate-and-Fire Neuron Model with State-Dependent Feedback Control
title_sort qualitative analysis of a quadratic integrate and fire neuron model with state dependent feedback control
url http://dx.doi.org/10.1155/2015/836402
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