Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds
Articles
P. D. D. Gupta
Jadavpur University, India
N. C. C. Majee
Jadavpur University, India
A. B. B. Roy
Jadavpur University, India
Published 2009-10-25
https://doi.org/10.15388/NA.2009.14.4.14466
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Keywords

BAM neural network
distributed delay
Hopf-bifurcation
stability and direction of Hopf-bifurcation
global Hopf-bifurcation

How to Cite

Gupta, P.D.D., Majee, N.C.C. and Roy, A.B.B. (2009) “Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds”, Nonlinear Analysis: Modelling and Control, 14(4), pp. 435–461. doi:10.15388/NA.2009.14.4.14466.

Abstract

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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