Stability and Bifurcation Analysis of Two-Neuron Network With Discrete and Distributed Delays
Stability and Bifurcation Analysis of Two-Neuron Network With Discrete and Distributed Delays
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Abstract
In this paper, we give a detailed Hopf bifurcation analysis of a recurrent neural network system involving both discrete and distributed delays. Choosing the sum of the discrete delay terms as a bifurcation parameter the existence of Hopf bifurcation is demonstrated. In particular, the formulae determining the direction of the bifurcations and the stability of the bifurcating periodic solutions are studied by using the normal form theory and center manifold theorem. Finally, numerical simulations supporting our theoretical results are also included. (C) 2015 Elsevier B.V. All rights reserved.
Description
Keywords
Hopf bifurcation, Stability, Neural networks, Delay differential equations, Periodic solution, Delay differential equations, Periodic solution, Hopf bifurcation, Stability, Neural networks
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
Karaoğlu, E., Yılmaz, E., & Merdan, H. (2016). Stability and bifurcation analysis of two-neuron network with discrete and distributed delays. Neurocomputing, 182, 102-110.
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
30
Source
Neurocomputing
Volume
182
Issue
Start Page
102
End Page
110
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