The contributions to this volume are concerned with perceptual learning in humans and machines. As people gain experience in the world, their perceptual abilities are often times radically transformed. Children organize their perceptual world differently from adults, and experts often have unique perceptual skills within their domain of expertise.;In a variety of ways, the contributors to this volume argue that perceptual abilities, rather than being fixed and stable, are flexible and influenced by tasks, needs and environment. This book focuses on recent research techniques for exploring the mechanisms that drive perceptual learning in humans. It creates a synthesis between empirical research and formal modelling. Collectively, the contributions reflect an interdisciplinary approach to the problem of perceptual learning, describing research from developmental psychology, adult perception, language acquisition, expert/novice differences, computational modelling and neuroscience.