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 theory of vision. He draws together results from David Marr's computational framework, Barlow's efficient coding hypothesis, Bayesian inference, Shannon's information theory,...