Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Temperature-modulated synchronization transition in coupled neuronal oscillators

Yasuomi D. Sato1,2,3,*, Keiji Okumura4, Akihisa Ichiki4, Masatoshi Shiino4, and Hideyuki Câteau3,1,†

  • 1Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196, Japan
  • 2Frankfurt Institute for Advanced Studies (FIAS), Johann Wolfgang Goethe University, Ruth-Moufang-Strasse 1, D-60438 Frankfurt am Main, Germany
  • 3RIKEN BSI-TOYOTA Collaboration Center, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
  • 4Department of Physics, Faculty of Science, Tokyo Institute of Technology, 2-12-1 Ohokayama, Meguro-ku, Tokyo 152-8551, Japan

  • *sato-y@brain.kyutech.ac.jp; sato@fias.uni-frankfurt.de
  • cateau@brain.riken.jp

Phys. Rev. E 85, 031910 – Published 15 March, 2012

DOI: https://doi.org/10.1103/PhysRevE.85.031910

Abstract

We study two firing properties to characterize the activities of a neuron: frequency-current (f-I) curves and phase response curves (PRCs), with variation in the intrinsic temperature scaling parameter (μ) controlling the opening and closing of ionic channels. We show a peak of the firing frequency for small μ in a class I neuron with the I value immediately after the saddle-node bifurcation, which is entirely different from previous experimental reports as well as model studies. The PRC takes a type II form on a logarithmic f-I curve when μ is small. Then, we analyze the synchronization phenomena in a two-neuron network using the phase-reduction method. We find common μ-dependent transition and bifurcation of synchronizations, regardless of the values of I. Such results give us helpful insight into synchronizations tuned with a sinusoidal-wave temperature modulation on neurons.

Article Text

References (44)

  1. J. W. Moore, Fed. Proc. 17, 113 (1958).
  2. X. Cao and D. Oertel, J. Neurophysiol. 94, 821 (2005).
  3. F. Berznilla and R. E. Taylor, Biophys. J. 23, 479 (1978).
  4. Y. Zhao and J. A. Boulant, J. Physiol. 564, 245 (2005).
  5. A. L. Hodgkin and A. F. Huxley, J. Physiol. 117, 500 (1952).
  6. A. L. Hodgkin, A. F. Huxley, and B. Katz, J. Physiol. 116, 424 (1952).
  7. S. Kuang et al., Pramana 70, 183 (2008).
  8. D. J. Prior and D. S. Grega, J. Exp. Biol. 98, 415 (1982).
  9. X.-J. Wang and G. Buzsáki, J. Neurosci. 16, 6402 (1996).
  10. B. Ermentrout, Neural. Comput. 8, 979 (1996).
  11. R. F. Galan, G. B. Ermentrout, and N. N. Urban, Phys. Rev. Lett. 94, 158101 (2005).
  12. A. J. Preyer and R. J. Butera, Phys. Rev. Lett. 95, 138103 (2005).
  13. T. I. Netoff, M. I. Banks, A. D. Dorval, C. D. Acker, J. S. Haas, N. Kopell, and J. A. White, J. Neurophysiol. 93, 1197 (2005).
  14. D. Hansel, G. Mato, and C. Meunier, Neural Comput. 7, 307 (1995).
  15. B. Gustafsson and H. Wigström, Brain Res. 223, 417 (1981).
  16. T. Tateno, A. Harsch, and H. P. C. Robinson, J. Neurophysiol. 92, 2283 (2004).
  17. B. N. Lundstrom, M. Famulare, L. B. Sorensen, W. J. Spain, and A. L. Fairhall, J. Comput. Neurosci. 27, 277 (2009).
  18. A. Borisyuk and J. Rinzel, in Models and Methods in Neurophysics, Proceedings Les Houches Summer School 2003, Session LXXX (Elservier, Dordrecht, 2005), p. 19.
  19. K. Tsumoto, H. Kitajima, T. Yoshinaga, K. Aihara, and H. Kawakami, Neurocomputing 69, 293 (2006).
  20. E. M. Izhikevich, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting. (MIT Press, Cambridge, MA, 2007).
  21. D. O. Carpenter, J. Gen. Physiol. 50, 1469 (1967).
  22. A. S. French, J. Comp. Physiol. A 156, 817 (1985).
  23. J. J. C. Rosenthal and F. Bezanilla, Biol. Bull. 199, 135 (2000).
  24. M. T. Huber and H. A. Braun, Phys. Rev. E 73, 041929 (2006).
  25. C. Morris and H. Lecar, Biophys. J. 35, 193 (1981).
  26. H. Lecar, Scholarpedia 2, 1333 (2007).
  27. J. Keener and J. Sneyd, Mathematical Physiology (Springer-Verlag, New York, 1998).
  28. H. R. Wilson, Spikes, Decisions, and Actions: The Dynamical Foundation of Neuroscience (Oxford University Press, New York, 1999).
  29. W. Rall, J. Neurophysiol. 30, 1138 (1967).
  30. Y. Kuramoto, Chemical Oscillations, Waves, and Turbulence (Springer-Verlag, Berlin, 1984).
  31. G. B. Ermentrout and N. Kopell, SIAM J. Math. Anal. 15, 215 (1984).
  32. F. C. Hoppensteadt and E. M. Izhikevich, Weakly Connected Neural Networks (Springer, New York, 1997).
  33. B. S. Gutkin and G. B. Ermentrout, Neural Comput. 10, 1047 (1998).
  34. C. I. Buia and P. H. Tiesinga, J. Neurophysiol. 99, 2158 (2008).
  35. N. Ishiko and W. R. Loewenstein, J. Gen. Physiol. 45, 105 (1961).
  36. M. J. Beilby and H. G. J. Coster, Aust. J. Plant Physiol. 3, 275 (1976).
  37. S. Marella and G. B. Ermentrout, Phys. Rev. E 77, 041918 (2008).
  38. Y. Tsubo, M. Takada, A. D. Reyes, and T. Fukai, Euro. J. Neurosci. 25, 3429 (2007).
  39. Y. Tsubo, J.-N. Teramae, and T. Fukai, Phys. Rev. Lett. 99, 228101 (2007).
  40. J. B. Peloquin, C. J. Doering, R. Rehak, and J. E. McRory, Neuroscience 151, 1066 (2008).
  41. K. Matsumoto, T. Ueda, and Y. Kobatake, J. Theor. Biol. 131, 175 (1988).
  42. T. Nakagaki, H. Yamada, and T. Ueda, Biophys. Chem. 84, 195 (2000).
  43. A. Mehrotra and A. Sangiovanni-Vincentelli, Noise Analysis of Radio Frequency Circuits (Kluwer, Dordrecht, 2004).
  44. Y. D. Sato, Ph.D. thesis, Tokyo Institute of Technology, 2005 (unpublished).

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation