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Published in: Neural Processing Letters 1/2019

11-09-2018

Stability Switches and Hopf Bifurcation of a Neuron System with both Leakage and Distributed Delays

Authors: Yi Yao, Min Xiao, Jinde Cao, Chengdai Huang, Qiankun Song

Published in: Neural Processing Letters | Issue 1/2019

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Abstract

This paper focuses on the effect of leakage delays on the dynamics of nonlinear delay systems based on a neuron system with discrete and distributed delay. By introducing a virtual neuron, we can eliminate the impact of distributed delay and transform the original neuron system with mixed delays to an equivalent new system involving only discrete delay. This paper extends the existing works on neural networks to the case of leakage delays. We choose the leakage delay as the bifurcation parameter and analyze the role of leakage delays on the stability and Hopf bifurcation. Sufficient conditions for ensuring the neuron system to be stable, and undergoing the Hopf bifurcation are derived. Finally, by using the software package DDE-BIFTOOL, we provide the simulation results to substantiate our theoretical analysis, and give the relationship between the onset of Hopf bifurcation and the system parameters by drawing the bifurcation curves.

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Literature
1.
go back to reference Kosko B (1992) Neural networks and fuzzy systems. Prentice Hall, New DelhiMATH Kosko B (1992) Neural networks and fuzzy systems. Prentice Hall, New DelhiMATH
2.
go back to reference Wang H, Duan S, Li C, Wang L, Huang T (2017) Exponential stability analysis of delayed memristor-based recurrent neural networks with impulse effects. Neural Comput Appl 28(4):669–678CrossRef Wang H, Duan S, Li C, Wang L, Huang T (2017) Exponential stability analysis of delayed memristor-based recurrent neural networks with impulse effects. Neural Comput Appl 28(4):669–678CrossRef
3.
go back to reference Saravanakumar R, Ali M, Ahn C, Karimi H, Shi P (2017) Stability of markovian jump generalized neural networks with interval time-varying delays. IEEE Trans Neural Netw Learn Syst 28(8):1840–1850MathSciNetCrossRef Saravanakumar R, Ali M, Ahn C, Karimi H, Shi P (2017) Stability of markovian jump generalized neural networks with interval time-varying delays. IEEE Trans Neural Netw Learn Syst 28(8):1840–1850MathSciNetCrossRef
4.
go back to reference Xiao M, Zheng W, Cao J (2013) Frequency domain approach to computational analysis of bifurcation and periodic solution in a two-neuron network model with distributed delays and self-feedbacks. Neurocomputing 99:206–213CrossRef Xiao M, Zheng W, Cao J (2013) Frequency domain approach to computational analysis of bifurcation and periodic solution in a two-neuron network model with distributed delays and self-feedbacks. Neurocomputing 99:206–213CrossRef
5.
go back to reference Xiao M, Zheng W, Jiang G, Cao J (2015) Undamped oscillations generated by Hopf bifurcations in fractional order recurrent neural networks with Caputo derivative. IEEE Trans Neural Netw Learn Syst 26(12):3201–3214MathSciNetCrossRef Xiao M, Zheng W, Jiang G, Cao J (2015) Undamped oscillations generated by Hopf bifurcations in fractional order recurrent neural networks with Caputo derivative. IEEE Trans Neural Netw Learn Syst 26(12):3201–3214MathSciNetCrossRef
6.
go back to reference Olien L, Bélair J (1997) Bifurcations, stability, and monotonicity properties of a delayed neural network model. Phys D 102(3):349–363MathSciNetCrossRefMATH Olien L, Bélair J (1997) Bifurcations, stability, and monotonicity properties of a delayed neural network model. Phys D 102(3):349–363MathSciNetCrossRefMATH
7.
go back to reference Xu W, Cao J, Xiao M, Ho DWC, Wen G (2015) A new framework for analysis on stability and bifurcation in a class of neural networks with discrete and distributed delays. IEEE Trans Cybern 45(10):2224–2236CrossRef Xu W, Cao J, Xiao M, Ho DWC, Wen G (2015) A new framework for analysis on stability and bifurcation in a class of neural networks with discrete and distributed delays. IEEE Trans Cybern 45(10):2224–2236CrossRef
8.
go back to reference Xiao M, Zheng W, Cao J (2013) Hopf bifurcation of an (\(n+1\))-neuron bidirectional associative memory neural network model with delays. IEEE Trans Neural Netw Learn Syst 24(1):118–132CrossRef Xiao M, Zheng W, Cao J (2013) Hopf bifurcation of an (\(n+1\))-neuron bidirectional associative memory neural network model with delays. IEEE Trans Neural Netw Learn Syst 24(1):118–132CrossRef
9.
go back to reference Rakkiyappan R, Dharani S (2017) Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with Markovian jumping and mixed delays using multiple integral approach. Neural Comput Appl 28(3):449–462CrossRef Rakkiyappan R, Dharani S (2017) Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with Markovian jumping and mixed delays using multiple integral approach. Neural Comput Appl 28(3):449–462CrossRef
10.
go back to reference Sheng Y, Zhang H, Zeng Z (2017) Synchronization of reaction-diffusion neural networks with dirichlet boundary conditions and infinite delays. IEEE Trans Cybern 47(10):3005–3017CrossRef Sheng Y, Zhang H, Zeng Z (2017) Synchronization of reaction-diffusion neural networks with dirichlet boundary conditions and infinite delays. IEEE Trans Cybern 47(10):3005–3017CrossRef
11.
go back to reference Li N, Cao J (2018) Synchronization criteria for multiple memristor-based neural networks with time delay and inertial term. Sci China Technol Sci 61(4):612–622MathSciNetCrossRef Li N, Cao J (2018) Synchronization criteria for multiple memristor-based neural networks with time delay and inertial term. Sci China Technol Sci 61(4):612–622MathSciNetCrossRef
12.
go back to reference Xiao M, Zheng W, Cao J (2013) Bifurcation and control in a neural network with small and large delays. Neural Netw 44:132–142CrossRefMATH Xiao M, Zheng W, Cao J (2013) Bifurcation and control in a neural network with small and large delays. Neural Netw 44:132–142CrossRefMATH
13.
go back to reference Avitable D, Wedgwood K (2017) Macroscopic coherent structures in a stochastic neural network: from interface dynamics to coarse-grained bifurcation analysis. J Math Biol 75(4):885–928MathSciNetCrossRefMATH Avitable D, Wedgwood K (2017) Macroscopic coherent structures in a stochastic neural network: from interface dynamics to coarse-grained bifurcation analysis. J Math Biol 75(4):885–928MathSciNetCrossRefMATH
14.
go back to reference Javidmanesh E (2017) Global stability and bifurcation in delayed bidirectional associative memory neural networks with an arbitrary number of neurons. J Dyn Sys Meas Control 139(8):081018CrossRef Javidmanesh E (2017) Global stability and bifurcation in delayed bidirectional associative memory neural networks with an arbitrary number of neurons. J Dyn Sys Meas Control 139(8):081018CrossRef
15.
go back to reference Xu C, Zhang Q, Wu Y (2016) Bifurcation analysis in a three-neuron artificial neural network model with distributed delays. Neural Process Lett 44(2):343–373CrossRef Xu C, Zhang Q, Wu Y (2016) Bifurcation analysis in a three-neuron artificial neural network model with distributed delays. Neural Process Lett 44(2):343–373CrossRef
16.
go back to reference Lai Q, Hu B, Guan Z (2016) Multistability and bifurcation in a delayed neural network. Neurocomputing 207:785–792CrossRef Lai Q, Hu B, Guan Z (2016) Multistability and bifurcation in a delayed neural network. Neurocomputing 207:785–792CrossRef
18.
go back to reference Xiao M, Zheng W, Jiang G, Cao J (2016) Stability and bifurcation analysis of arbitrarily high-dimensional genetic regulatory networks with hub structure and bidirectional coupling. IEEE Trans Circuits Syst I, Reg Papers 63(8):1243–1254MathSciNetCrossRef Xiao M, Zheng W, Jiang G, Cao J (2016) Stability and bifurcation analysis of arbitrarily high-dimensional genetic regulatory networks with hub structure and bidirectional coupling. IEEE Trans Circuits Syst I, Reg Papers 63(8):1243–1254MathSciNetCrossRef
19.
21.
go back to reference Maharajan C, Raja R, Cao J, Rajchakit G, Tu Z, Alsaedi A (2018) LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: a non-fragile state estimation approach. Appl Math Comput 326:33–55MathSciNetMATH Maharajan C, Raja R, Cao J, Rajchakit G, Tu Z, Alsaedi A (2018) LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: a non-fragile state estimation approach. Appl Math Comput 326:33–55MathSciNetMATH
22.
go back to reference Yang W, Yu W, Cao J, Alsaadi F, Hayat T (2017) Almost automorphic solution for neutral type high-order Hopfield BAM neural networks with time-varying leakage delays on time scales. Neurocomputing 267:241–260CrossRef Yang W, Yu W, Cao J, Alsaadi F, Hayat T (2017) Almost automorphic solution for neutral type high-order Hopfield BAM neural networks with time-varying leakage delays on time scales. Neurocomputing 267:241–260CrossRef
23.
go back to reference Arbi A, Cao J (2017) Pseudo-almost periodic solution on time-space scales for a novel class of competitive neutral-type neural networks with mixed time-varying delays and leakage delays. Neural Process Lett 46(2):719–745CrossRef Arbi A, Cao J (2017) Pseudo-almost periodic solution on time-space scales for a novel class of competitive neutral-type neural networks with mixed time-varying delays and leakage delays. Neural Process Lett 46(2):719–745CrossRef
24.
go back to reference Ruan S, Wei J (2003) On the zeros of transcendental functions with applications to stability of delay differential equations with two delays. Dyn Contin Discr Impuls Syst Ser A 10:863–874MathSciNetMATH Ruan S, Wei J (2003) On the zeros of transcendental functions with applications to stability of delay differential equations with two delays. Dyn Contin Discr Impuls Syst Ser A 10:863–874MathSciNetMATH
25.
go back to reference Engelborghs K, Luzyanina T, Roose D (2002) Numerical bifurcation analysis of delay differential equations using DDE-BIFTOOL. ACM Trans Math Softw 28(1):1–21MathSciNetCrossRefMATH Engelborghs K, Luzyanina T, Roose D (2002) Numerical bifurcation analysis of delay differential equations using DDE-BIFTOOL. ACM Trans Math Softw 28(1):1–21MathSciNetCrossRefMATH
Metadata
Title
Stability Switches and Hopf Bifurcation of a Neuron System with both Leakage and Distributed Delays
Authors
Yi Yao
Min Xiao
Jinde Cao
Chengdai Huang
Qiankun Song
Publication date
11-09-2018
Publisher
Springer US
Published in
Neural Processing Letters / Issue 1/2019
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-018-9916-3

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