Depth Perception in Frogs and Toads

1. Front Matter

   Pages N2-VII

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2. Introduction

   • Donald House

   Pages 1-3

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3. Modeling Frog and Toad Depth Perception

   • Donald House

   Pages 5-29

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4. Monocular and Binocular Cooperation

   • Donald House

   Pages 31-56

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5. Localization of Prey

   • Donald House

   Pages 57-86

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6. Towards a Complete Model

   • Donald House

   Pages 87-99

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7. Conclusions

   • Donald House

   Pages 101-107

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8. Back Matter

   Pages 109-138

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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.

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

• Department of Computer Science, Williams College, Williamstown, USA

  Donald House

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