Abstract
In this paper, the dynamics of a two-dimensional discrete Hindmarsh–Rose model is discussed. It is shown that the system undergoes flip bifurcation, Neimark–Sacker bifurcation, and 1:1 resonance by using a center manifold theorem and bifurcation theory. Furthermore, we present the numerical simulations not only to illustrate our results with the theoretical analysis, but also to exhibit the complex dynamical behaviors, including orbits of period 3, 6, 15, cascades of period-doubling bifurcation in orbits of period 2, 4, 8, 16, quasiperiodic orbits, and chaotic sets. These results obtained in this paper show far richer dynamics of the discrete Hindmarsh–Rose model compared with the corresponding continuous model.
Similar content being viewed by others
References
Alligood, K.T., Sauer, T.D., Yorke, J.A.: Chaos—An Introduction to Dynamical Systems. Springer, New York (1996)
Broer, H.W., Roussarie, R., Simó, C.: Invariant circles in the Bogdanov–Takens bifurcation for diffeomorphisms. Ergod. Theory Dyn. Syst. 16, 1147–1172 (1996)
Carr, J.: Application of Center Manifold Theory. Springer, New York (1981)
Ermentrout, B.: Simulating, Analyzing, and Animating Dynamical Systems: A Guide to XPPAUT for Researchers and Students. SIAM, Philadelphia (2002)
FitzHugh, R.: Impulses and physiological state in theoretical models of nerve membrane. Biophys. J. 1, 445–467 (1961)
González-Miranda, J.M.: Complex bifurcation structures in the Hindmarsh–Rose neuron model. Int. J. Bifurc. Chaos 17, 3071–3083 (2007)
Guckenheimer, J.: Multiple bifurcation problems of codimension two. SIAM J. Math. Anal. 15, 1–49 (1984)
Guckenheimer, J., Holmes, P.: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Springer, Berlin (1983)
He, Z.M., Lai, X.: Bifurcations and chaotic behavior of a discrete-time predator-prey system. Nonlinear Anal., Real World Appl. 12, 403–417 (2011)
Hindmarsh, J.L., Rose, R.M.: A model of the nerve impulse using two first-order differential equations. Nature 296, 162–164 (1982)
Hindmarsh, J.L., Rose, R.M.: A model of neuronal bursting using three coupled first order differential equations. Proc. R. Soc. Lond. B 221, 87–102 (1984)
Hodgkin, A.L., Huxley, A.F.: A quantitive description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117, 500–544 (1952)
Huang, J.C.: Bifurcations and chaos in a discrete predator-prey system with Holling type-IV functional response. Acta Math. Appl. Sin. 20(1), 157–176 (2005)
Innocentia, G., Morelli, A., Genesio, R., Torcini, A.: Dynamical phases of the Hindmarsh–Rose neuronal model: studies of the transition from bursting to spiking chaos. Chaos 17, 043128 (2007)
Jing, Z.J.: Local and global bifurcations and applications in a predator-prey system with several parameters. Syst. Sci. Math. Sci. 2, 337–352 (1989)
Jing, Z.J., Chang, Y., Guo, B.L.: Bifurcation and chaos in discrete FitzHugh–Nagumo system. Chaos Solitons Fractals 21, 701–720 (2004)
Kuznetsov, Y.A.: Elements of Applied Bifurcation Theory, 3rd edn. Springer, New York (2004)
Li, Y.L., Xiao, D.M.: Bifurcations of a predator-prey system of Holling and Leslie types. Chaos Solitons Fractals 34, 606–620 (2007)
Liu, X.L., Liu, S.Q.: Codimension-two bifurcations analysis in two-dimensional Hindmarsh–Rose model. Nonlinear Dyn. 67, 847–857 (2012)
Liu, X.L., Xiao, D.: Complex dynamic behaviors of a discrete-time predator-prey system. Chaos Solitons Fractals 32, 80–94 (2007)
Peng, M.S.: Multiple bifurcations and periodic “bubbling” in a delay population model. Chaos Solitons Fractals 25, 1123–1130 (2005)
Nagumo, J., Arimoto, S., Yoshizawa, S.: An active pulse transmission line simulating nerve axon. Proc. IRE 50, 2061–2070 (1962)
Polyanin, A.D., Chernoutsan, A.I.: A Concise Handbook of Mathematics, Physics, and Engineering Science. CRC Press, New York (2011)
Robinson, C.: Dynamical Systems: Stability, Symbolic Dynamics and Chaos, 2nd edn. CRC Press, Boca Raton, London, New York (1999)
Ruan, S., Xiao, D.: Global analysis in a predator-prey system with nonmonotonic functional response. SIAM J. Appl. Math. 61, 1445–1472 (2001)
Storace, M., Linaro, D., Lange, E.: The Hindmarsh–Rose neuron model: bifurcation analysis and piecewise-linear approximations. Chaos 18, 033128 (2008)
Svetoslav, N.: An alternative bifurcation analysis of the Rose–Hindmarsh model. Chaos Solitons Fractals 23, 1643–1649 (2005)
Tsuji, S., Ueta, T., Kawakami, H., Fujii, H., Aihara, K.: Bifurcations in two-dimensional Hindmarsh–Rose type model. Int. J. Bifurc. Chaos 17, 985–998 (2007)
Vandermeer, J.: Period ‘bubbling’ in simple ecological models: pattern and chaos formation in a quartic model. Ecol. Model. 95, 311–317 (1997)
Wiggins, S.: Introduction to Applied Nonlinear Dynamical Systems and Chaos, 2nd edn. Springer, New York (2003)
Wu, X.Y., Chen, B.S.: Bifurcations and stability of a discrete singular bioeconomic system. Nonlinear Dyn. 73, 1813–1828 (2013)
Yagasaki, K.: Codimension-two bifurcations in a pendulum with feedback control. Int. J. Non-Linear Mech. 34, 983–1002 (1999)
Yagasaki, K.: Melnikov’s method and codimension-two bifurcations in forced oscillations. J. Differ. Equ. 18, 24–51 (2002)
Yi, N., Zhang, Q., Liu, P., Lin, Y.: Codimension-two bifurcations analysis and tracking control on a discrete epidemic model. J. Syst. Sci. Complex. 24, 1033–1056 (2011)
Acknowledgements
The authors would like to thank the referee for his/her careful reading and valuable suggestions, which lead to improvement of the manuscript.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
In this section, we provide the proof of Theorem 3.4 and the expressions of bifurcation curves near the 1:1 resonance point.
Proof of Theorem 3.4
By Proposition 3.1 in [33] and corresponding results in [2, 17], we only need to check the nondegeneracy conditions
and the transversality condition
It is easy to see that the above conditions hold if b>2d and δ≠δ 3.
Furthermore, the invariant circle created at the Neimark–Sacker bifurcation is stable (resp. unstable) if
It is easy to calculate that the invariant circle is stable (resp., unstable) when \(\delta>(\mbox{resp}.<)\frac{2d-b}{d-b}\).
Next, we give the lower order terms of μ to express the bifurcation curves near 1:1 resonance point by Maple.
(i) The fold bifurcation curve can be expressed as
where
(ii) The Neimark–Sacker bifurcation curve can be expressed as
and
where
(iii) The homoclinic bifurcation curve can be expressed as
and
where
and HF 10 and HF 01 are given in (ii). □
Rights and permissions
About this article
Cite this article
Li, B., He, Z. Bifurcations and chaos in a two-dimensional discrete Hindmarsh–Rose model. Nonlinear Dyn 76, 697–715 (2014). https://doi.org/10.1007/s11071-013-1161-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-013-1161-8