Issue
EPL
Volume 80, Number 4, November 2007
Article Number 40002
Number of page(s) 6
Section General
DOI http://dx.doi.org/10.1209/0295-5075/80/40002
Published online 11 October 2007
EPL, 80 (2007) 40002
DOI: 10.1209/0295-5075/80/40002

Controlling synchrony in oscillatory networks with a separate stimulation-registration setup

K. Pyragas1, 2, 3, O. V. Popovych3 and P. A. Tass3, 4, 5

1  Semiconductor Physics Institute - 01108 Vilnius, Lithuania
2  Department of Theoretical Physics, Faculty of Physics of Vilnius University - 10222 Vilnius, Lithuania
3  Institute of Neurosciences and Biophysics 3, Medicine and Virtual Institute of Neuromodulation, Research Center Jülich - 52425 Jülich, Germany
4  Department of Stereotaxic and Functional Neurosurgery, University Hospital - 50924 Cologne, Germany
5  Brain Imaging Center West - 52425 Jülich, Germany


received 10 June 2007; accepted in final form 14 September 2007; published November 2007
published online 11 October 2007

Abstract
We present a demand-controlled method for desynchronization of globally coupled oscillatory networks utilizing a configuration with an observed and stimulated subsystem. The stimulated subsystem is subjected to a proportional-integro-differential (PID) feedback derived from the mean field of the observed subsystem. Our method enables to restore desynchronized states in both subsystems in a robust way. We develop an analytical theory for the Kuramoto model and analytically derive a threshold of the stimulation parameters for the desynchronization transition in ensembles of phase and van der Pol oscillators. We also numerically demonstrate the efficacy of the approach for ensembles of globally coupled Landau-Stuart and relaxation van der Pol oscillators. Our approach is particularly important for applications to physical and biological systems which do not allow for a simultaneous registration and stimulation of the whole network, as in the case of electrical brain stimulation.

PACS
05.45.Xt - Synchronization; coupled oscillators.
87.19.La - Neuroscience.

© Europhysics Letters Association 2007