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In recent years, Bayesian probability theory has emerged not only as a powerful tool for building computational theories of vision, but also as a general paradigm for studying human visual perception. The Bayesian approach provides new and powerful metaphors for conceptualizing …

In this introduction to modern vision science, the author uses visual illusions to explore how the brain sees the world. Understanding vision, he argues, is not simply a question of knowing which neurons respond to particular visual features, but also requires a computational th…