Modelling Active Non-Markovian Oscillations

Abstract

Modelling noisy oscillations of active systems is one of the current challenges in physics and biology. Because the physical mechanisms of such processes are often difficult to identify, we propose a linear stochastic model driven by a non-Markovian bistable noise that is capable of generating self-sustained periodic oscillation. We derive analytical predictions for most relevant dynamical and thermodynamic properties of the model. This minimal model turns out to describe accurately bistable-like oscillatory motion of hair bundles in bullfrog sacculus, extracted from experimental data. Based on and in agreement with these data, we estimate the power required to sustain such active oscillations to be of the order of one hundred $k_{B}T$ per oscillation cycle.

29 pages, 13 figures

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Cited by in corpus (12)

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• Exact position distribution of a harmonically-confined run-and-tumble particle in two dimensions
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• Nonequilibrium steady state of trapped active particles
• Dynamics of switching processes: general results and applications to intermittent active motion
• Noninteracting particles in a harmonic trap with a stochastically driven center
• Variance sum rule: proofs and solvable models
• The impact of memory on learning sequence-to-sequence tasks
• Optimal synchronisation to a limit cycle
• Force-free kinetic inference of entropy production
• Active energy harvesting and work transduction by hair-cell bundles in bullfrog's inner ear
• Estimating Free Parameters in Stochastic Oscillatory Models Using a Weighted Cost Function