Stochastic resonance in a model neuron with reset
  The response of a noisy integrate-and-fire neuron with reset to periodic input is investigated. We numerically obtain the first-passage-time density of the pertaining Ornstein-Uhlenbeck process and show how the power spectral density of the resulting spike train can be determined via Fourier transform. The neuron's output clearly exhibits stochastic resonance. 
Hans E. Plesser and Shigeru Tanaka (RIKEN)