MIT CogNet, The Brain Sciences ConnectionFrom the MIT Press, Link to Online Catalog
SPARC Communities
Subscriber : Stanford University Libraries » LOG IN

space

Powered By Google 
Advanced Search

Selected Title Details  
Apr 1987
ISBN 0262010941
744 pp.
232 illus.
BUY THE BOOK
Vision, Brain, and Cooperative Computation
Michael A. Arbib and Allen R. Hanson

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.

Table of Contents
 Preface
 Vision, Brain and Cooperative Computation: An Overview
by Michael A. Arbib and Allen R. Hanson
I Visual Neurophysiology
1 Why Visuomotor Systems Don't Like Negative Feedback and How They Avoid It
by D. A. Robinson
2 The Role of the Primate Superior Colliculus in Sensorimotor Integration
by David L. Sparks and Martha Jay
3 Depth and Detours: An Essay on Visually Guided Behavior
by Michael A. Arbib and Donald H. House
4 A Trace of Memory: An Evolutionary Perspective on the Visual System
by D. N. Spinelli
II Visual Psychophysics
5 Visual Analysis during Motion
by David Burr and John Ross
6 Figure-Ground Organization Affects the Early Visual Processing of Information
by Naomi Weisstein and Eva Wong
7 The Diversity of Perceptual Grouping
by Steven W. Zucker
8 The Interdependence of Temporal and Spatial Information in Early Vision
by Peter J. Burt
III Machine Vision and Robotics
9 A Methodology for the Development of General Knowledge-Based Vision Systems
by Edward M. Riseman and Allen R. Hanson
10 An Extremum Principle for Shape from Contour
by Michael Brady and Alan Yuille
11 Representational Axes and Temporal Cooperative Processes
by John K. Tsotsos
12 Computational Techniques in Motion Processing
by Daryl Lawton, Joachim Rieger and Martha Steenstrup
13 Schemas That Integrate Vision and Touch for Hand Control
by Michael A. Arbib, Thea Iberall and Damian Lyons
14 Robot Tactile Sensing and Schema Control
by Kenneth J. Overton
IV Connectionism and Cooperative Computation
15 A Functional Model of Vision and Space
by Jerome A. Feldman
16 Cortical Connections and Parallel Processing: Structure and Function
by Dana H. Ballard
17 Visual-Cognitive Neuronal Networks
by Arnold Trehub
18 An Approach to Learning Control Surfaces by Connectionist Systems
by Andrew G. Barto
19 Separating Figure from Ground with a Boltzmann Machine
by Terrence J. Sejnowski and Geoffrey E. Hinton
 List of Contributors
 Index
 
Options
Related Topics
Computational Intelligence
Neuroscience


© 2010 The MIT Press
MIT Logo