Abstract
A simple delayed neural network model with three neurons is considered. By constructing suitable Lyapunov functions, we obtain sufficient delay-dependent criteria to ensure global asymptotical stability of the equilibrium of a tri-neuron network with single time delay. Local stability of the model is investigated by analyzing the associated characteristic equation. It is found that Hopf bifurcation occurs when the time delay varies and passes a sequence of critical values. The stability and direction of bifurcating periodic solution are determined by applying the normal form theory and the center manifold theorem. If the associated characteristic equation of linearized system evaluated at a critical point involves a repeated pair of pure imaginary eigenvalues, then the double Hopf bifurcation is also found to occur in this model. Our main attention will be paid to the double Hopf bifurcation associated with resonance. Some Numerical examples are finally given for justifying the theoretical results.
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References
Hopfield, J.J.: Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. U.S.A. 81, 3088–3092 (1984)
Hale, J., Lenel, S.V.: Introduction to Functional Differential Equations. Springer, New York (1993)
Gopalsamy, K.: Stability and Oscillations in Delay Differential Equations of Populations Dynamics. Kluwer, Dordrecht, The Netherlands (1992)
Marcus, C.M., Westervelt, R.M.: Stability of analog neural networks with delay. Phys. Rev. A 39, 347–359 (1989)
Baldi, P., Atiya, A.F.: How delays affect neural dynamics and learning. IEEE Trans. Neural Network 5, 612–621 (1994)
Olien, L., Belair, J.: Bifurcation, stability and monotonicity properties of a delayed neural model. Physica D 102, 349–363 (1997)
Belair, J., Dufour, S.: Stability in a three-dimensional system of delay-differential equations. Can. Appl. Math. Quart. 4, 1878–1890 (1998)
Gopalsamy, K., He, X.: Delay-independent stability in bi-directional associative memory networks. IEEE Trans. Neural Network 5, 998–1002 (1994)
Gopalsamy, K., Leung, I.: Delay-induced periodicity in a neural network of excitation and inhibition. Physica D 89, 395–426 (1996)
Gopalsamy, K., Leung, I.: Convergence under dynamical thresholds with delays. IEEE Trans. Neural Network 8(2), 341–348 (1997)
Gopalsamy, K., Leung, I., Liu, P.: Global Hopf-bifurcation in a neural netlet. Appl. Math. Comput. 94, 171–192 (1998)
Wei, J., Ruan, S.: Stability and bifurcation in a neural network model with two delays. Physica D 130, 255–272 (1999)
Babcock, K.L., Westervelt, R.M.: Dynamics of simple electronic neural networks with added inertia. Physica D 23, 464–469 (1986)
Babcock, K.L., Westervelt, R.M.: Dynamics of simple electronic neural networks. Physica D 28, 305–316 (1987)
Destxhe, A.: Stability of periodic oscillation in a network of neurons with time delay. Phys. Lett. A 187, 309–316 (1994)
Campbell, S.A.: Stability and bifurcation of a simple neural network with multiple time delays. Fields Inst. Commun. 21, 65–79 (1999)
An der Heiden, U.: Delays in physiological systems. J. Math. Biol. 8, 345–364 (1979)
Willson, H.R., Cowan, J.D.: Excitatory and inhibitory interactions in locallized populations of model neurons. Biophys. J. 12, 1–24 (1972)
Destexhe, A., Gaspard, P.: Bursting oscillations from a homoclinic tangency in a time delat system. Phys. Lett. A 173, 386–391 (1993)
Majee, N.C., Roy, A.B.: Temporal dynamics of a two-neuron continuous network model with time delay. Appl. Math. Model. 21, 673–679 (1997)
Liao, X.F., Wu, Z.F., Yu, J.B.: Stability switches and bifurcation analysis of a neural network with continuously delay. IEEE Trans. Syst. Man Cybernet. 29, 692–696 (1999)
Liao, X.F., Wong, K.W., Leung, C.S., Wu, Z.F.: Hopf bifurcation and chaos in a single delayed neuron equation with nonmonotonic activation function. Chaos Solitons Fractals 21, 1535–1547 (2001)
Liao, X.F., Wong, K.W., Wu, Z.F.: Bifurcation analysis in a two-neuron system with distributed delays. Physica D 149, 123–141 (2001)
Liao, X.F., Wong, K.W., Wu, Z.F.: Asymptotic stability criteria for a two-neuron network with different time delays. IEEE Trans. Neural Network 14(1), 222–227 (2003)
Liao, X.F., Yu, J.B.: Robust interval stability analysis of Hopfield networks with time delays. IEEE Trans. Neural Network 9, 1042–1045 (1998)
Liao, X.F., Wong, K.W., Wu, Z.F., Chen, G.: Novel robust stability criteria for interval delayed Hopfield neural networks with time delays. IEEE Tran. Syst. I 48, 1355–1359 (2001)
Liao, X.F., Yu, J.B., Chen, G.: Novel stability conditions for cellular neural networks with time delays. Int. J. Bif. Chaos 11(7), 1853–1864 (2001)
Liao, X.F., Chen, G., Sanchez, E.N.: LMI-based approach for asymptotically stability analysis of delayed neural networks. IEEE Trans. Circuits Syst. I 49, 1033–1039 (2002)
Liao, X.F., Chen, G., Sanchez, E.N.: Delay-dependent exponential stability analysis of delayed neural networks: An LMI approach. Neural Network 15, 855–866 (2002)
Liao, X.F., Li, S.W., Chen, G.: Bifurcation analysis on a two-neuron system with distributed delays in the frequency domain. Neural Network 17(4), 545–561 (2004)
Liao, X.F., Wong, K.W.: Robust stability of interval bi-directional associative menmory neural networks with time delays. IEEE Trans. Man Cybernet. B 34(2), 1141–1154 (2004)
Liao, X.F., Wong, K.W.: Global exponential stability for a class of retarded functional differential equations with applications in neural networks. J. Math. Anal. Appl. 293(1), 125–148 (2004)
Liao, X.F., Li, C.G., Wong, K.W.: Criteria for exponential stability of Cohen–Grossberg neural networks. Neural Network 17, 1401–1414 (2004)
Liao, X.F., Wong, K.W., Yang, S.Z.: Stability analysis for delayed cellular neural networks based on linear matrix inequality approach. Int. J. Bif. Chaos. 14(9), 3377–3384 (2004)
Liao, X.F., Li, C.D.: An LMI approach to asymptotical stability of multi-delayed neural networks. Physica D 200(1–2), 139–155 (2005)
Liao, X.F., Wu, Z.F., Yu, J.B.: Hopf bifurcation analysis of a neural system with a continuously distributed delay. In: Proceeding of the International Symposium on Signal Processing and Intelligent System, Guangzhou, China (1999)
Pakdaman, K., Malta, C.P., et al.: Transient oscillations in continuous-time excitatory ring neural networks with delay. Phys. Rev. E 55, 3234–3248 (1997)
Van Den Driessche, P., Zou, X.: Global attractivity in delayed Hopfield neural networks model. SIAM J. Appl. Math. 58, 1878–1890 (1998)
Giannakopoulos, F., Zapp, A.: Bifurcations in a planar system of differential delay equations modeling neural activity. Physica D 159(3–4), 215–232 (2001)
Liu, B., Huang, L.: Periodic solutions for a two-neuron network with delays. Nonlinear Anal. Real World Appl. 7(4), 497–509 (2006)
Li, C.G., Chen, G., Liao, X.F., Yu, J.B.: Hopf bifurcation and chaos in Tabu learning neuron models. Int. J. Bif. Chaos 15(8), 2633–2642 (2005)
Wei, J., Ruan, S.: Stability and bifurcation in a neural network model with two delays. Physica D 130(1–2), 255–272 (1999)
Hassard, B.D., Kazarinoff, N.D., Wan, Y.H.: Theory and Applications of Hopf Bifurcation. Cambridge University Press, Cambridge (1981)
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Liao, X., Guo, S. & Li, C. Stability and bifurcation analysis in tri-neuron model with time delay. Nonlinear Dyn 49, 319–345 (2007). https://doi.org/10.1007/s11071-006-9137-6
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DOI: https://doi.org/10.1007/s11071-006-9137-6