Skip to main content
Log in

Hysteresis Dynamics, Bursting Oscillations and Evolution to Chaotic Regimes

Contribution from the 2003 Meeting of the French Society of Theoretical Biology, guest edited by Pierre Baconnier and Alfredo Hernandez

  • Published:
Acta Biotheoretica Aims and scope Submit manuscript

Abstract

This article describes new aspects of hysteresis dynamics which have been uncovered through computer experiments. There are several motivations to be interested in fast-slow dynamics. For instance, many physiological or biological systems display different time scales. The bursting oscillations which can be observed in neurons, β-cells of the pancreas and population dynamics are essentially studied via bifurcation theory and analysis of fast-slow systems (Keener and Sneyd, 1998; Rinzel, 1987). Hysteresis is a possible mechanism to generate bursting oscillations. A first part of this article presents the computer techniques (the dotted-phase portrait, the bifurcation of the fast dynamics and the wave form) we have used to represent several patterns specific to hysteresis dynamics. This framework yields a natural generalization to the notion of bursting oscillations where, for instance, the active phase is chaotic and alternates with a quiescent phase. In a second part of the article, we emphasize the evolution to chaos which is often associated with bursting oscillations on the specific example of the Hindmarsh–Rose system. This evolution to chaos has already been studied with classical tools of dynamical systems but we give here numerical evidence on hysteresis dynamics and on some aspects of the wave form. The analytical proofs will be given elsewhere.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arvanitaki, A. (1939). Recherches sur la réponse oscillatoire locale de l'axone géant de Sepia. Archive International Physiology 49: 209–256.

    Google Scholar 

  • Atwater, I., C.M. Dawson, G. Eddlestone and E. Rojas (1980). The nature of the oscillatory behavior in electrical activity from pancreatic β-cell. Journal of Hormonal Metabolic Research 10 (suppl.): 100–107.

    Google Scholar 

  • Decroly, O. and A. Goldbeter (1987). From simple to complex oscillatory behaviour Analysys of bursting in a multiply regulated system Journal of Theoretical Biology 124: 219–250.

    Google Scholar 

  • Faure, P. and H. Korn (2001). Is there chaos in the brain? I. Concepts of nonlinear dynamics and methods of investigation. Comptes Rendus Biologie 324: 773–793.

    Google Scholar 

  • Goldbeter, A. (1990). Rythmes et Chaos dans les systèmes biochimiques et cellulaires, Masson, Paris.

  • Hindmarsh, J.L. and R.M. Rose (1984). A model of neuronal bursting using three coupled first order differential equations. Nature 196: 162–164.

    Google Scholar 

  • Keener, J. and J. Sneyd (1998). Mathematical Physiology. Springer Verlag, New York.

    Google Scholar 

  • Kuznetsov, A. Yu., O. De Feo and S. Rinaldi (2001). Belyakov homoclinic bifurcations in a tritrophic food chain model. SIAM Journal of Applied Mathematics 62(2): 462–487.

    Article  Google Scholar 

  • Martiel, J.L. and A. Goldbeter (1987). Origin of bursting and birhythmicity in a model for cyclic AMP oscillations in Dictyostellium cells. Lecture Notes in Biomathematics 71: 244–255.

    Google Scholar 

  • Muratori, S. and S. Rinaldi (1992). Low and high-frequency oscillations in three dimensional food chain systems. SIAM Journal of Applied Mathematics 52: 1688–1706.

    Article  Google Scholar 

  • Murray, J. (2002). Mathematical Biology. Springer Verlag, New-York.

    Google Scholar 

  • Rinzel, J. (1987). A formal classification of bursting mechanisms in excitable systems, in Mathematical Topics in Population Biology, Morphogenesis and Neurosciences, Lecture Notes in Biomathematics, vol. 71: Ed. Teramoto, E. and M. Yamaguti (Springer Verlag, Berlin).

  • Rinzel, J. and Y.S. Lee (1987). Dissection of a model for neuronal parabolic bursting. Journal of Mathematical Biology, 25: 653–675.

    Article  Google Scholar 

  • Strogatz, S. (1994). Nonlinear dynamics and chaos: With applications to physics, biology, chemistry and engineering. Reading, MA: Perseus Books.

    Google Scholar 

  • Terman, D. (1991). Chaotic spikes arising from a model for bursting in excitable membranes, SIAM Journal of Applied Mathematics 51: 1418–1450.

    Article  Google Scholar 

  • Thom, R. (1988). Esquisse d'une Sémiophysique, InterEditions, Paris.

  • Wang, X.-J. (1993). Genesis of bursting oscillations in the Hindmarsh–Rose model and homoclinicity to a chaotic saddle. Physica D 62: 263–274.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Françoise, JP., Piquet, C. Hysteresis Dynamics, Bursting Oscillations and Evolution to Chaotic Regimes. Acta Biotheor 53, 381–392 (2005). https://doi.org/10.1007/s10441-005-4892-1

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10441-005-4892-1

Keywords

Navigation