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Overlapping Structures in Sensory-Motor Mappings

This paper examines a biologically-inspired representation technique designed for the support of sensory-motor learning in developmental robotics. An interesting feature of the many topographic neural sheets in the brain is that closely packed receptive fields must overlap in order to fully cover a...

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Detalles Bibliográficos
Autores principales: Earland, Kevin, Lee, Mark, Shaw, Patricia, Law, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879306/
https://www.ncbi.nlm.nih.gov/pubmed/24392118
http://dx.doi.org/10.1371/journal.pone.0084240
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author Earland, Kevin
Lee, Mark
Shaw, Patricia
Law, James
author_facet Earland, Kevin
Lee, Mark
Shaw, Patricia
Law, James
author_sort Earland, Kevin
collection PubMed
description This paper examines a biologically-inspired representation technique designed for the support of sensory-motor learning in developmental robotics. An interesting feature of the many topographic neural sheets in the brain is that closely packed receptive fields must overlap in order to fully cover a spatial region. This raises interesting scientific questions with engineering implications: e.g. is overlap detrimental? does it have any benefits? This paper examines the effects and properties of overlap between elements arranged in arrays or maps. In particular we investigate how overlap affects the representation and transmission of spatial location information on and between topographic maps. Through a series of experiments we determine the conditions under which overlap offers advantages and identify useful ranges of overlap for building mappings in cognitive robotic systems. Our motivation is to understand the phenomena of overlap in order to provide guidance for application in sensory-motor learning robots.
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spelling pubmed-38793062014-01-03 Overlapping Structures in Sensory-Motor Mappings Earland, Kevin Lee, Mark Shaw, Patricia Law, James PLoS One Research Article This paper examines a biologically-inspired representation technique designed for the support of sensory-motor learning in developmental robotics. An interesting feature of the many topographic neural sheets in the brain is that closely packed receptive fields must overlap in order to fully cover a spatial region. This raises interesting scientific questions with engineering implications: e.g. is overlap detrimental? does it have any benefits? This paper examines the effects and properties of overlap between elements arranged in arrays or maps. In particular we investigate how overlap affects the representation and transmission of spatial location information on and between topographic maps. Through a series of experiments we determine the conditions under which overlap offers advantages and identify useful ranges of overlap for building mappings in cognitive robotic systems. Our motivation is to understand the phenomena of overlap in order to provide guidance for application in sensory-motor learning robots. Public Library of Science 2014-01-02 /pmc/articles/PMC3879306/ /pubmed/24392118 http://dx.doi.org/10.1371/journal.pone.0084240 Text en © 2014 Earland et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Earland, Kevin
Lee, Mark
Shaw, Patricia
Law, James
Overlapping Structures in Sensory-Motor Mappings
title Overlapping Structures in Sensory-Motor Mappings
title_full Overlapping Structures in Sensory-Motor Mappings
title_fullStr Overlapping Structures in Sensory-Motor Mappings
title_full_unstemmed Overlapping Structures in Sensory-Motor Mappings
title_short Overlapping Structures in Sensory-Motor Mappings
title_sort overlapping structures in sensory-motor mappings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879306/
https://www.ncbi.nlm.nih.gov/pubmed/24392118
http://dx.doi.org/10.1371/journal.pone.0084240
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