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.

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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.

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Q1

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Q1
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OpenCitations Citation Count
30

Source

Neurocomputing

Volume

182

Issue

Start Page

102

End Page

110
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