Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/1673
Title: | Stability and Bifurcation Analysis of Two-Neuron Network With Discrete and Distributed Delays | Authors: | Karaoğlu, Esra Yılmaz, Enes Merdan, Hüseyin |
Keywords: | Hopf bifurcation Stability Neural networks Delay differential equations Periodic solution |
Publisher: | Elsevier B.V. | Source: | Karaoğlu, E., Yılmaz, E., & Merdan, H. (2016). Stability and bifurcation analysis of two-neuron network with discrete and distributed delays. Neurocomputing, 182, 102-110. | 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. | URI: | https://doi.org/10.1016/j.neucom.2015.12.006 https://hdl.handle.net/20.500.11851/1673 |
ISSN: | 0925-2312 |
Appears in Collections: | Matematik Bölümü / Department of Mathematics Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
19
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
29
checked on Nov 9, 2024
Page view(s)
84
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.