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…
Perceptual organization is the neuro-cognitive process that enables us to perceive scenes as structured wholes consisting of objects arranged in space. Simplicity in Vision explores the intriguing idea that these perceived wholes are given by the simplest organizations of the sc…
"The odyssey begins and ends with the story of a young woman (here called 'Dee') apparently blind to the shapes of things in her visual world due to a devastating brain accident. As their investigations unfolded Milner and Goodale found that Dee wasn't in fact 'form-blind' at al…
"This special issue examines the basic processes of space perception and how these processes interact with action planning and motor control. The tasks under consideration range from the simple localization of a single object to the coordination of a series of events in natural …
