In a comprehensive series of experiments that combine neural modeling, behavioral data, and fMRI, Jiang et al. (this issue of Neuron) advance a general object and face classification model, based on a feedforward shape-detector architecture. The model accounts for configural face processing as well as for shape-based fMRI activation in the fusiform face area (FFA).