From Computational Models of Cognition and Perception

Vision, Brain, and Cooperative Computation

Edited by Michael A. Arbib and Allen R. Hanson

A Bradford Book

Overview

Author(s)

Summary

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.

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.

Hardcover

Out of Print ISBN: 9780262010948 744 pp. | 6 in x 8.9 in

Paperback

Out of Print ISBN: 9780262510493 744 pp. | 6 in x 8.9 in

Editors

Michael A. Arbib

Michael Arbib has played a leading role at the interface of neuroscience and computer science ever since his first book, Brains, Machines, and Mathematics. From Neuron to Cognition provides a worthy pedagogical sequel to his widely acclaimed Handbook of Brain Theory and Neural Networks. After thirty years at University of Southern California he is now pursuing interests in “how the brain got language” and “neuroscience for architecture” in San Diego.

Allen R. Hanson