Time-delay-induced instabilities and Hopf bifurcation analysis in 2-neuron network model with reaction-diffusion term

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Date

2018

Authors

Swati Tyagi
Subit K. Jain
Syed Abbas
Shahlar Meherrem
Rajendra K. Ray

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Journal ISSN

Volume Title

Publisher

ELSEVIER SCIENCE BV

Open Access Color

Green Open Access

Yes

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No
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Abstract

In this paper we consider a general 2-neuron network model with reaction-diffusion term and time delay. We study the effect of time delay in kinetic terms of reaction-diffusive system. We mainly investigate the effects of time delay and diffusion term on the stability of the neural network model. Later we present an algorithm to determine the existence of Hopf bifurcation for the delayed system with reaction-diffusion term along with Neumann boundary conditions. We determine the conditions on the delay parameter for the Hopf bifurcation to exist corresponding to the characteristic equation obtained by linearization of system. At the end we give some numerical examples along with simulation results to show effectiveness of our analytic findings. (C) 2018 Elsevier B.V. All rights reserved.

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Keywords

Neural network, Time-delay, Reaction-diffusion term, Instability, Hopf bifurcation, CELLULAR NEURAL-NETWORKS, PREDATOR-PREY MODEL, PATTERN-FORMATION, EXPONENTIAL STABILITY, VARYING DELAYS, MORPHOGENESIS, SELF

Fields of Science

0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

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OpenCitations Citation Count
11

Source

Neurocomputing

Volume

313

Issue

Start Page

306

End Page

315
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CrossRef : 11

Scopus : 13

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