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We study how the neurocomputational mechanisms of visual encoding and learning interact during object and face recognition and categorization. We approach this overarching research goal by trying to answer the following questions: How are faces and other objects encoded in the brain? How does learning about objects influence their neural encoding? How does object encoding influence learning and generalization? We take a highly integrative, inter-disciplinary research approach that combines computational modeling, behavioral research, and neuroimaging