Abstract
This study of the effect of noise on bifurcations in a simple biological oscillator with a periodically modulated threshold uses the first-passage-time problem of the Ornstein–Uhlenbeck process with a periodic boundary to define the operator governing the transition of a threshold phase density. Stochastic phase-locking is analyzed numerically by evaluating the evolution of the probability density function of the threshold phase. A firing phase map in a noisy environment is extended to a stochastic kernel so that stochastic bifurcations can be investigated by spectral analysis of the kernel.
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Tateno, T. Characterization of Stochastic Bifurcations in a Simple Biological Oscillator. Journal of Statistical Physics 92, 675–705 (1998). https://doi.org/10.1023/A:1023048923644
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DOI: https://doi.org/10.1023/A:1023048923644