We use Hidden Process Models (HPMs) to evaluate different models of a functional Magnetic Resonance Imaging (fMRI) study in which subjects decide whether stimuli match. We demonstrate the ability of HPMs to simultaneously estimate the hemodynamic response functions and the onset times of a set of cognitive processes underlying an fMRI time series, and to compare different models in a principled way.