The PSTH may be viewed as an estimate of the firing rate of a neuron averaged across repeated trials. We discuss improvements of the estimate by smoothing and adaptive smoothing. We then describe a simple class of non-Poisson models for within-trial analyses, where bursting, a refractory period, or other non-Poisson behavior could affect results. We also indicate how similar models and methods may be applied to multiple-neuron data.