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
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER SCIENCE BV
Open Access Color
Green Open Access
Yes
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Publicly Funded
No
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.
Description
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
Citation
WoS Q
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OpenCitations Citation Count
11
Source
Neurocomputing
Volume
313
Issue
Start Page
306
End Page
315
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Citations
CrossRef : 11
Scopus : 13
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Mendeley Readers : 7
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