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Background The Langevin phase equation d/dt = 1 + Z()(G(t) + s(t)), where  is the phase, which is disturbed by a perturbation G and Langevin force s of intensity , and Z is the phase response curve (PRC), has been deemed to be a good model for stochastic limit cycle oscillators [1], and it has been extensively used in theoretical neuroscience as a model neural oscillator [2]. Inspired by the theoretical research, experimental researchers have measured PRCs, but none of them have identified the Langevin phase equation for real neurons directly. In fact, biological experiments have yet to show whether this equation is a good model for neural oscillators.

Is the Langevin phase equation an efficient model for stochastic limit cycle oscillators in real neurons?