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Depth perception in frogs and toads: a study in neural computing

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 per...

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Detalles Bibliográficos
Autor principal: House, Donald
Lenguaje:eng
Publicado: Springer 1989
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4684-6391-0
http://cds.cern.ch/record/2006157
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author House, Donald
author_facet House, Donald
author_sort House, Donald
collection CERN
description 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.
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spelling cern-20061572021-04-21T20:23:49Zdoi:10.1007/978-1-4684-6391-0http://cds.cern.ch/record/2006157engHouse, DonaldDepth perception in frogs and toads: a study in neural computingMathematical Physics and MathematicsDepth 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.Springeroai:cds.cern.ch:20061571989
spellingShingle Mathematical Physics and Mathematics
House, Donald
Depth perception in frogs and toads: a study in neural computing
title Depth perception in frogs and toads: a study in neural computing
title_full Depth perception in frogs and toads: a study in neural computing
title_fullStr Depth perception in frogs and toads: a study in neural computing
title_full_unstemmed Depth perception in frogs and toads: a study in neural computing
title_short Depth perception in frogs and toads: a study in neural computing
title_sort depth perception in frogs and toads: a study in neural computing
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4684-6391-0
http://cds.cern.ch/record/2006157
work_keys_str_mv AT housedonald depthperceptioninfrogsandtoadsastudyinneuralcomputing