Scientists usually study the receptive fields of visual cortical neurons by measuring responses to "optimal stimuli." In this issue of Neuron, Rust and colleagues have taken a promising alternative approach: build a receptive field model based on the cell responses to a stimulus subset and then use the model to predict responses to other stimuli.