These nineteen original essays present current developments in the exciting field of vision research, stressing contributions from neurophysiology, psychophysics, and computer science. They are unified by the theme of how best to structure the computations for visual systems and are placed in perspective by a major integrative essay provided by the editors.Broad in scope and packed with useful detail, "Vision, Brain, and Cooperative Computation" covers the entire range of perceptual experience from sensors to learning. Crossing several traditional disciplinary boundaries, it offers valuable insights into artificial intelligence and cognitive science with diverse and timely essays on visual neurophysiology, visual psychophysics, machine vision and robotics, and connectionism and cooperative computation.Michael A. Arbib is Professor of Computer Science, Neurobiology, and Physiology at the University of Southern California. Allen R. Hanson is an Associate Professor in the Department of Computer and Information Science at the University of Massachusetts in Amherst. "Vision, Brain, and Cooperative Computation" is included in the series Computational Models of Cognition and Perception, edited by Jerome A. Feldman, Patrick J. Hayes, and David E. Rumelhart. A Bradford Book.

Review:

"This book explores what can be learned about visual cognition from an understanding of visual neurophysiology and of the mathematics of parallel computation. The list of authors is impressive. Each contribution is a penetration into some aspect of vision or computation that is valuable in its own right. Together, these contributions provide for a more circumspect consideration of the question: What is the relationship between brain and mind?"- Donald D. Hoffman, University of California, Irvine

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