Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data

► We provide a nonparametric hierarchical Bayesian for fMRI data across subjects. ► Inference based on the model learns patterns of functional specificity from data. ► The model estimates the number, activation profile, and spatial extent of patterns. ► Results in a visual fMRI study agree with prior findings and suggest novel patterns.