Abstract
For a system of type-I neurons bidirectionally coupled through a nonlinear feedback mechanism, we discuss the issue of noise-induced complete synchronization (CS). For the inputs to the neurons, we point out that the rate of change of instantaneous frequency with the instantaneous phase of the stochastic inputs to each neuron matches exactly with that for the other in the event of CS of their outputs. Our observation can be exploited in practical situations to produce completely synchronized outputs in artificial devices. For excitatory-excitatory synaptic coupling, a functional dependence for the synchronization error on coupling and noise strengths is obtained. Finally, we report a noise-induced CS between nonidentical neurons coupled bidirectionally through random nonzero couplings in an all-to-all way in a large neuronal ensemble.
Similar content being viewed by others
References
L M Pecora and T L Carroll, Phys. Rev. Lett. 64, 821 (1990)
D Hansel and H Sompolinsky, Phys. Rev. Lett. 68, 718 (1992)
W Wang, G Perez and H A Cerdeira, Phys. Rev. E47, 2893 (1993)
C van Vreeswijk, L F Abbott and G B Ermentrout, J. Comput. Neurosci. 1, 313 (1994)
D Hansel, G Mato and C Meunier, Neural Comput. 7, 307 (1995)
B Ermentrout, Neural Comput. 8, 979 (1996)
C Börgers and N Kopell, Neural Comput. 15, 509 (2003)
C Börgers and N Kopell, Neural Comput. 17, 557 (2005)
E Izhikevich, IEEE Trans. Neural Networks 10, 499 (1999)
F E-N Hassan, Y Zhang, H A Cerdeira and A F Ibiyinka, Chaos 13, 1216 (2003)
F E-N Hassan, M Paulsamy, F F Fernando and H A Cerdeira, Chaos 19, 013103 (2009)
S Sinha, Phys. Rev. E66, 016209 (2002)
M P K Jampa, A R Sonawane, P M Gade and S Sinha, Phys. Rev. E75, 026215 (2007)
A Pikovsky, M Rosenblum and J Kurths, Synchronization: A universal concept in nonlinear sciences (Cambridge University Press, Cambridge, 2001)
H C Tuckwell, Stochastic processes in neurosciences (SIAM, Philadelphia, 1989)
A L Hodgkin and A F Huxley, J. Physiol. (London) 117, 500 (1952)
J R Rinzel and G B Ermentrout, in: Methods of neuronal modeling edited by C Koch and I Segev (MIT Press, Cambridge, MA, USA, 1989) pp. 135–169
C Koch, Biophysics of computation: Information processing in single neurons (Oxford University Press, NY, 1999)
W Lim and S-Y Kim, J. Korean Phys. Soc. 50, 219 (2007)
V S Anishchenko, V V Astakhov, A B Neiman, T E Vadisova and L Schimansky-Geier, Nonlinear dynamics of chaotic and stochastic systems (Springer-Verlag, Berlin, 2002)
C Zhou and J Kurths, Phys. Rev. Lett. 88, 230602 (2002)
C Zhou and J Kurths, Chaos 13, 401 (2003)
Y Wang, D T W Chik and Z D Wang, Phys. Rev. E61, 740 (2000)
R Toral, C R Mirasso, E Hernández-Garcia and O Piro, Chaos 11, 665 (2001)
D He, P Shi and L Stone, Phys. Rev. E67, 027201 (2003)
T S Parker and L O Chua, Practical numerical algorithms for chaotic systems (Springer-Verlag, Berlin, 1998)
J P Eckmann and D Ruelle, Rev. Mod. Phys. 57, 617 (1985)
J Gao and Z Zheng, Phys. Rev. E49, 3807 (1994)
W Rümelin, SIAM J. Numer. Anal. 19, 604 (1982)
J Hansen and C Penland, Monthly Weather Rev. 134, 3006 (2006)
P Kloeden and E Platen, Numerical solutions of stochastic differential equations (Springer-Verlag, Berlin, 1992)
P Hänggi and H Thomas, Phys. Rep. 88, 207 (1982)
N Malik, B Ashok and J Balakrishnan (submitted) (2009)
W Singer and C Gray, Annu. Rev. Neurosci. 18, 555 (1995)
A K Kreiter and W Singer, in: Brain theory: Biological basis and computational theory of vision edited by A Aertsen and V Braitenberg (Elsevier, Amsterdam, 1996)
W Gerstner, A F Kreiter, H Markram and A V M Herz, Proc. Natl. Acad. Sci. USA 94, 12740 (1997)
W Singer, Neuron 24, 49 (1999)
R Ritz and T J Sejnowski, Curr. Opin. Neurobiol. 7, 536 (1997)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Malik, N., Ashok, B. & Balakrishnan, J. Complete synchronization in coupled type-I neurons. Pramana - J Phys 74, 189–205 (2010). https://doi.org/10.1007/s12043-010-0020-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12043-010-0020-0