Perceptual Learning: Advances in Research and Theory

The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter provides a thoughtful integration of a body of work.

Includes computational models of human learningProvides contributions from ten leading researchers in the fieldContains interdisciplinary perspectives on perceptual learningSynthesizes research from psychology and computer scienceFocuses on the specific mechanisms that drive perceptual learning

R.L. Goldstone, P.G. Schyns, and D.L. Medin, Learning to Bridge Between Perception and Cognition.
J. Hochberg, The Affordances of Perceptual Inquiry: Pictures are Learned from the World, and What that Fact Might Mean about Perception Quite Generally.
R.M. Shiffrin and N. Lightfoot, Perceptual Learning of Alphanumeric-Like Characters.
J. Tanaka and I. Gauthier, Expertise in Object and Face Recognition.
P.D. Eimas, Infant Speech Perception: Processing Characteristics, Representational Units, and the Learning of Words.
T. Regier, Constraints on the Learning of Spatial Terms: A Computational Investigation.
L.B. Smith, M. Gasser, and C.M. Sandhofer, Learning to Talk About the Properties of Objects: A Network Model of the Development of Dimensions.
R. Mikkulainen, J.A. Bednar, Y. Choe, and J. Sirosh, Self-Organization, Plasticity, and Low-level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex.
V.R. de Sa and D.H. Ballard, Perceptual Learning from a Cross-Modal Feedback.
S. Edelman and N. Intrator, Learning as Extraction of Low-Dimensional Representations.
Subject Index.