Computational models of perceptual learning

In visual perception, learning is a pervasive phenomenon, which, when properly studied, may o er valuable insights into the inner workings of the brain. We outline a theoretical framework for the computational study of perceptual learning, aiming to make the relationships among the existing models more readily apparent, and to identify promising directions for future research.