Can the clocks tick together despite the noise? Stochastic simulations and analysis
St\'ephanie M. C. Abo, Jos\'e A. Carrillo, Anita T. Layton

TL;DR
This paper models the synchronization of circadian neurons in the SCN using stochastic mean-field equations, revealing how noise and coupling influence rhythm stability, bifurcations, and resonance phenomena.
Contribution
It introduces a mean-field framework for coupled noisy oscillators, analyzing noise effects on synchronization and rhythm generation in the SCN.
Findings
Low noise induces rhythm generation; high noise leads to arrhythmia.
Coupling causes resonance-like behavior at low noise levels.
Varying coupling strength affects period locking and variance dissipation.
Abstract
The suprachiasmatic nucleus (SCN), also known as the circadian master clock, consists of a large population of oscillator neurons. Together, these neurons produce a coherent signal that drives the body's circadian rhythms. What properties of the cell-to-cell communication allow the synchronization of these neurons, despite a wide range of environmental challenges such as fluctuations in photoperiods? To answer that question, we present a mean-field description of globally coupled neurons modeled as Goodwin oscillators with standard Gaussian noise. Provided that the initial conditions of all neurons are independent and identically distributed, any finite number of neurons becomes independent and has the same probability distribution in the mean-field limit, a phenomenon called propagation of chaos. This probability distribution is a solution to a Vlasov-Fokker-Planck type equation, which…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Circadian rhythm and melatonin · Nonlinear Dynamics and Pattern Formation
MethodsSelf-Cure Network
