Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation function

Abstract In this paper, we consider a delayed Hopfield two-neural system with a monotonic activation function and find the periodic coexistence by bifurcation analysis. Firstly, we obtain the pitchfork bifurcation of the trivial equilibrium employing the central manifold and normal form methods. The...

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Main Authors: Zigen Song, Weiguo Qian, Bin Zhen, Xianghong Kong
Format: Article
Language:English
Published: SpringerOpen 2019-05-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-019-2066-8
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spelling doaj-f7968b3fc4e94f349a13d2b0c5fd24a42020-11-25T03:02:46ZengSpringerOpenAdvances in Difference Equations1687-18472019-05-012019111810.1186/s13662-019-2066-8Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation functionZigen Song0Weiguo Qian1Bin Zhen2Xianghong Kong3College of Information Technology, Shanghai Ocean UniversityCollege of Marine Science, Shanghai Ocean UniversitySchool of Environment and Architecture, University of Shanghai for Science and TechnologyCollege of Information Technology, Shanghai Ocean UniversityAbstract In this paper, we consider a delayed Hopfield two-neural system with a monotonic activation function and find the periodic coexistence by bifurcation analysis. Firstly, we obtain the pitchfork bifurcation of the trivial equilibrium employing the central manifold and normal form methods. The neural system exhibits two pitchfork bifurcations near the trivial equilibrium. Then, analyzing the characteristic equation of the nontrivial equilibrium, we illustrate the saddle-node bifurcation of the nontrivial equilibria. The system exhibits the multi-coexistences of the stable and unstable equilibria. Further, we illustrate the plane regions of parameters having different numbers of equilibria. To obtain a time delay in neural system dynamics, we present the stability analysis and find the periodic orbit. The system exhibits stability switching by the Hopf bifurcation curves. Finally, the dynamic behaviors near the Hopf–Hopf bifurcation point are presented. The system exhibits coexistence of multiple periodic orbits with different frequencies.http://link.springer.com/article/10.1186/s13662-019-2066-8Hopfield neural systemMultiple delaysCoexistenceMultiple bifurcationsMonotonic activation function
collection DOAJ
language English
format Article
sources DOAJ
author Zigen Song
Weiguo Qian
Bin Zhen
Xianghong Kong
spellingShingle Zigen Song
Weiguo Qian
Bin Zhen
Xianghong Kong
Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation function
Advances in Difference Equations
Hopfield neural system
Multiple delays
Coexistence
Multiple bifurcations
Monotonic activation function
author_facet Zigen Song
Weiguo Qian
Bin Zhen
Xianghong Kong
author_sort Zigen Song
title Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation function
title_short Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation function
title_full Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation function
title_fullStr Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation function
title_full_unstemmed Multiple bifurcations and periodic coexistence in a delayed Hopfield two-neural system with a monotonic activation function
title_sort multiple bifurcations and periodic coexistence in a delayed hopfield two-neural system with a monotonic activation function
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2019-05-01
description Abstract In this paper, we consider a delayed Hopfield two-neural system with a monotonic activation function and find the periodic coexistence by bifurcation analysis. Firstly, we obtain the pitchfork bifurcation of the trivial equilibrium employing the central manifold and normal form methods. The neural system exhibits two pitchfork bifurcations near the trivial equilibrium. Then, analyzing the characteristic equation of the nontrivial equilibrium, we illustrate the saddle-node bifurcation of the nontrivial equilibria. The system exhibits the multi-coexistences of the stable and unstable equilibria. Further, we illustrate the plane regions of parameters having different numbers of equilibria. To obtain a time delay in neural system dynamics, we present the stability analysis and find the periodic orbit. The system exhibits stability switching by the Hopf bifurcation curves. Finally, the dynamic behaviors near the Hopf–Hopf bifurcation point are presented. The system exhibits coexistence of multiple periodic orbits with different frequencies.
topic Hopfield neural system
Multiple delays
Coexistence
Multiple bifurcations
Monotonic activation function
url http://link.springer.com/article/10.1186/s13662-019-2066-8
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AT binzhen multiplebifurcationsandperiodiccoexistenceinadelayedhopfieldtwoneuralsystemwithamonotonicactivationfunction
AT xianghongkong multiplebifurcationsandperiodiccoexistenceinadelayedhopfieldtwoneuralsystemwithamonotonicactivationfunction
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