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Spontaneous movements and linear response of a noisy oscillator
Max Planck Institut für Physik komplexer Systeme, Dresden, Germany
2 Physico-chimie Curie, CNRS, Institut Curie, UPMC, Paris, France
* e-mail: email@example.com
Revised: 26 May 2009
Accepted: 3 July 2009
Published online: 23 August 2009
A deterministic system that operates in the vicinity of a Hopf bifurcation can be described by a single equation of a complex variable, called the normal form. Proximity to the bifurcation ensures that on the stable side of the bifurcation (i.e. on the side where a stable fixed point exists), the linear-response function of the system is peaked at the frequency that is characteristic of the oscillatory instability. Fluctuations, which are present in many systems, conceal the Hopf bifurcation and lead to noisy oscillations. Spontaneous hair bundle oscillations by sensory hair cells from the vertebrate ear provide an instructive example of such noisy oscillations. By starting from a simplified description of hair bundle motility based on two degrees of freedom, we discuss the interplay of nonlinearity and noise in the supercritical Hopf normal form. Specifically, we show here that the linear-response function obeys the same functional form as for the noiseless system on the stable side of the bifurcation but with effective, renormalized parameters. Moreover, we demonstrate in specific cases how to relate analytically the parameters of the normal form with added noise to effective parameters. The latter parameters can be measured experimentally in the power spectrum of spontaneous activity and linear-response function to external stimuli. In other cases, numerical solutions were used to determine the effects of noise and nonlinearities on these effective parameters. Finally, we relate our results to experimentally observed spontaneous hair bundle oscillations and responses to periodic stimuli.
PACS: 43.64.Bt Models and theories of the auditory system – / 82.40.Bj Oscillations, chaos, and bifurcations – / 05.10.Gg Stochastic analysis methods (Fokker-Planck, Langevin, etc.) –
© EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg, 2009