Skip to main content
Log in

Discrete model of the olivo-cerebellar system: structure and dynamics

  • Published:
Radiophysics and Quantum Electronics Aims and scope

We propose a discrete model of the olivo-cerebellar system. The model consists of three layers of interacting elements, namely, inferior olive neurons, Purkinje cells, and deep cerebellar nuclear neurons combined into a structure by axonal connections. Each element of the structure is described by a two-dimensional map with an individual set of parameters for each type of neurons. Dynamic properties of different types of neurons are described and spontaneous and stimulusinduced dynamics of the system is explored. Unlike the previously proposed models, this study takes into account the axonal interaction of neurons of different layers, as well as the interaction of the inferior olive neurons through electrical synapses with the property of plasticity. It is shown that the inclusion of these factors plays a significant role in the formation of spatio-temporal activity of the inferior olive neurons.

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

  1. P. König, A. K. Engel, and W. Singer, Proc. Natl. Acad. Sci. USA, 92, No. 1, 290 (1995).

    Article  ADS  Google Scholar 

  2. J. W. Yang, I. L.Hanganu-Opatz, J. -J. Sun, and H. J. Luhmann, J. Neurosci., 29, No. 28, 9011 (2009).

    Article  Google Scholar 

  3. J. R. Manning, S. M. Polyn, G. H. Baltuch, et al., PNAS, 108, No. 31, 12893 (2011).

    Article  ADS  Google Scholar 

  4. E. Leznik, V. Makarenko, and R. Llinas, J. Neurosci., 22, No. 7, 2804 (2002).

    Google Scholar 

  5. M. Courbage and V. I. Nekorkin, Int. J. Bifurc. Chaos, 20, 1631 (2010).

    Article  MathSciNet  MATH  Google Scholar 

  6. B. Ibarz, J. M. Casado, M. A. F. Sanjuán, Phys. Reports, 501, 1 (2011).

    Article  ADS  Google Scholar 

  7. D. R. Chialvo, Chaos Solit. Fract., 5, 461 (1995).

    Article  ADS  MATH  Google Scholar 

  8. N. F. Rulkov, Phys. Rev. E, 65, 041922 (2002).

    Article  MathSciNet  ADS  Google Scholar 

  9. V. I. Nekorkin and L. V. Vdovin, Izv. Vyssh. Uchebn. Zaved. Prikl. Nelin. Dinam., 15, No. 5, 36 (2007).

    Google Scholar 

  10. M. Courbage, V. I. Nekorkin, and L. V. Vdovin, Chaos, 17, 043109 (2007).

    Article  MathSciNet  ADS  Google Scholar 

  11. E. R. Kandel, J. H. Schwartz, and T. M. Jessel, Principles of Neural Science, McGraw–Hill, New York (2000).

    Google Scholar 

  12. J. Nickols, A. Martin, B. Wallace, and P. Fuchs, From Neuron to Brain, Sinauer, Boston (2001).

    Google Scholar 

  13. D. Marr, J. Physiol., 202, 437 (1969).

    Google Scholar 

  14. J. S. Albus, Math. Sci., 10, 25 (1971).

    Google Scholar 

  15. R. Llinas, R. Baker, and C. Sotelo, J. Neurophysiol., 37, 560 (1974).

    Google Scholar 

  16. R. Llinas and Y. Yarom J. Physiol., 315, 549 (1981).

    Google Scholar 

  17. C. Sotelo, R. Llinas, and R. Baker, J. Neurophysiol., 37, 541 (1974).

    Google Scholar 

  18. R. Llinas, E. J. Lang, and J. P. Welsh, Learn. Mem., 3, 445 (1997).

    Article  Google Scholar 

  19. G. A. Jacobson, I. Lev, Y. Yarom, and D. Cohen, Proc. Natl. Acad. Sci. USA, 106, No. 9, 3579 (2009).

    Article  ADS  Google Scholar 

  20. G. A. Jacobson, D. Rokni, and Y. Yarom, Trends Neurosci., 31, No. 12, 617 (2008).

    Article  Google Scholar 

  21. A. Devor and Y. Yarom, J. Neurophysiol., 87, 3059 (2002).

    Google Scholar 

  22. M. G. Velarde, V. I. Nekorkin, V. A. Makarov, et al., Neural Networks, 17, 191 (2004).

    Article  MATH  Google Scholar 

  23. V. B. Kazantsev, V. I. Nekorkin, V. I. Makarenko, and R. Llinas, Proc. Natl. Acad. Sci. USA, 100, 13064 (2003).

    Article  ADS  Google Scholar 

  24. V. B. Kazantsev, V. I. Nekorkin, V. I. Makarenko, and R. Llinas, Proc. Natl. Acad. Sci. USA, 101, No. 52, 18183 (2004).

    Article  ADS  Google Scholar 

  25. Y. Katori, E. J. Lang, M. Onizuka, et al., Int. J. Bifurc. Chaos, 20, No. 3, 583 (2010).

    Article  MathSciNet  MATH  Google Scholar 

  26. T. Yanagita, Phys. Rev. E, 76, 056215 (2007).

    Article  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. I. Nekorkin.

Additional information

Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika, Vol. 55, No. 3, pp. 218–236, March 2012.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Maslennikov, O.V., Nekorkin, V.I. Discrete model of the olivo-cerebellar system: structure and dynamics. Radiophys Quantum El 55, 198–214 (2012). https://doi.org/10.1007/s11141-012-9360-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11141-012-9360-6

Keywords

Navigation