Integrating Computational and Neural Fin
β Edited by: Judith C. Peters, Hans P. Op de Beeck and Rainer Goebel
π Library
π Russian
β¦ LIBER β¦
π
Depth Perception in Frogs and Toads: A Study in Neural Computing
β Scribed by Donald House (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 1989
- Tongue
- English
- Leaves
- 140
- Series
- Lecture Notes in Biomathematics 80
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages N2-VII
Introduction....Pages 1-3
Modeling Frog and Toad Depth Perception....Pages 5-29
Monocular and Binocular Cooperation....Pages 31-56
Localization of Prey....Pages 57-86
Towards a Complete Model....Pages 87-99
Conclusions....Pages 101-107
Back Matter....Pages 109-138
β¦ Subjects
Neurosciences; Mathematical and Computational Biology; Artificial Intelligence (incl. Robotics)
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