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- Open Access
Is the Langevin phase equation an efficient model for stochastic limit cycle oscillators in real neurons?
© Ota et al; licensee BioMed Central Ltd. 2009
- Published: 13 July 2009
- Fokker Planck Equation
- Periodic Perturbation
- Msec Pulse
- Prediction Step
- Experimental Researcher
The Langevin phase equation dϕ/dt = 1 + Z(ϕ)(G(t) + σs(t)), where ϕ is the phase, which is disturbed by a perturbation G and Langevin force s of intensity σ, and Z is the phase response curve (PRC), has been deemed to be a good model for stochastic limit cycle oscillators , and it has been extensively used in theoretical neuroscience as a model neural oscillator . 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.
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