Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds

In this paper the dynamics of a three neuron model with self-connection and distributed delay under dynamical threshold is investigated. With the help of topological degree theory and Homotopy invariance principle existence and uniqueness of equilibrium point are established. The conditions for whic...

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Main Authors: P. D. Gupta, N. C. Majee, A. B. Roy
Format: Article
Language:English
Published: Vilnius University Press 2009-10-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.journals.vu.lt/nonlinear-analysis/article/view/14466
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author P. D. Gupta
N. C. Majee
A. B. Roy
author_facet P. D. Gupta
N. C. Majee
A. B. Roy
author_sort P. D. Gupta
collection DOAJ
description In this paper the dynamics of a three neuron model with self-connection and distributed delay under dynamical threshold is investigated. With the help of topological degree theory and Homotopy invariance principle existence and uniqueness of equilibrium point are established. The conditions for which the Hopf-bifurcation occurs at the equilibrium are obtained for the weak kernel of the distributed delay. The direction and stability of the bifurcating periodic solutions are determined by the normal form theory and central manifold theorem. Lastly global bifurcation aspect of such periodic solutions is studied. Some numerical simulations for justifying the theoretical analysis are also presented.
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spelling doaj.art-bb5b3905fe76466f9f85c87f277cfd7d2022-12-21T19:05:49ZengVilnius University PressNonlinear Analysis1392-51132335-89632009-10-0114410.15388/NA.2009.14.4.14466Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic ThresholdsP. D. Gupta0N. C. Majee1A. B. Roy2Jadavpur University, IndiaJadavpur University, IndiaJadavpur University, IndiaIn this paper the dynamics of a three neuron model with self-connection and distributed delay under dynamical threshold is investigated. With the help of topological degree theory and Homotopy invariance principle existence and uniqueness of equilibrium point are established. The conditions for which the Hopf-bifurcation occurs at the equilibrium are obtained for the weak kernel of the distributed delay. The direction and stability of the bifurcating periodic solutions are determined by the normal form theory and central manifold theorem. Lastly global bifurcation aspect of such periodic solutions is studied. Some numerical simulations for justifying the theoretical analysis are also presented.http://www.journals.vu.lt/nonlinear-analysis/article/view/14466BAM neural networkdistributed delayHopf-bifurcationstability and direction of Hopf-bifurcationglobal Hopf-bifurcation
spellingShingle P. D. Gupta
N. C. Majee
A. B. Roy
Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds
Nonlinear Analysis
BAM neural network
distributed delay
Hopf-bifurcation
stability and direction of Hopf-bifurcation
global Hopf-bifurcation
title Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds
title_full Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds
title_fullStr Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds
title_full_unstemmed Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds
title_short Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds
title_sort stability and hopf bifurcation analysis of delayed bam neural network under dynamic thresholds
topic BAM neural network
distributed delay
Hopf-bifurcation
stability and direction of Hopf-bifurcation
global Hopf-bifurcation
url http://www.journals.vu.lt/nonlinear-analysis/article/view/14466
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