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Depth Perception in Frogs and Toads

A Study in Neural Computing

  • DonaldĀ House

Part of the Lecture Notes in Biomathematics book series (LNBM, volume 80)

Table of contents

  1. Front Matter
    Pages N2-VII
  2. Donald House
    Pages 1-3
  3. Donald House
    Pages 5-29
  4. Donald House
    Pages 31-56
  5. Donald House
    Pages 57-86
  6. Donald House
    Pages 87-99
  7. Donald House
    Pages 101-107
  8. Back Matter
    Pages 109-138

About this book

Introduction

Depth Perception in Frogs and Toads provides a comprehensive exploration of the phenomenon of depth perception in frogs and toads, as seen from a neuro-computational point of view. Perhaps the most important feature of the book is the development and presentation of two neurally realizable depth perception algorithms that utilize both monocular and binocular depth cues in a cooperative fashion. One of these algorithms is specialized for computation of depth maps for navigation, and the other for the selection and localization of a single prey for prey catching. The book is also unique in that it thoroughly reviews the known neuroanatomical, neurophysiological and behavioral data, and then synthesizes, organizes and interprets that information to explain a complex sensory-motor task. The book will be of special interest to that segment of the neural computing community interested in understanding natural neurocomputational structures, particularly to those working in perception and sensory-motor coordination. It will also be of interest to neuroscientists interested in exploring the complex interactions between the neural substrates that underly perception and behavior.

Keywords

Algorithms Artificial Intelligence Depth Perception Navigation Neural Computing Sensory-motor coordination robot verification

Authors and affiliations

  • DonaldĀ House
    • 1
  1. 1.Department of Computer ScienceWilliams CollegeWilliamstownUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4684-6391-0
  • Copyright Information Springer-Verlag New York 1989
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-97157-5
  • Online ISBN 978-1-4684-6391-0
  • Series Print ISSN 0341-633X
  • Buy this book on publisher's site