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Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model

The visual cortex is able to extract disparity information through the use of binocular cells. This process is reflected by the Disparity Energy Model, which describes the role and functioning of simple and complex binocular neuron populations, and how they are able to extract disparity. This model...

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Detalles Bibliográficos
Autores principales: Martins, Jaime A., Rodrigues, João M. F., du Buf, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480855/
https://www.ncbi.nlm.nih.gov/pubmed/26107954
http://dx.doi.org/10.1371/journal.pone.0129908
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author Martins, Jaime A.
Rodrigues, João M. F.
du Buf, Hans
author_facet Martins, Jaime A.
Rodrigues, João M. F.
du Buf, Hans
author_sort Martins, Jaime A.
collection PubMed
description The visual cortex is able to extract disparity information through the use of binocular cells. This process is reflected by the Disparity Energy Model, which describes the role and functioning of simple and complex binocular neuron populations, and how they are able to extract disparity. This model uses explicit cell parameters to mathematically determine preferred cell disparities, like spatial frequencies, orientations, binocular phases and receptive field positions. However, the brain cannot access such explicit cell parameters; it must rely on cell responses. In this article, we implemented a trained binocular neuronal population, which encodes disparity information implicitly. This allows the population to learn how to decode disparities, in a similar way to how our visual system could have developed this ability during evolution. At the same time, responses of monocular simple and complex cells can also encode line and edge information, which is useful for refining disparities at object borders. The brain should then be able, starting from a low-level disparity draft, to integrate all information, including colour and viewpoint perspective, in order to propagate better estimates to higher cortical areas.
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spelling pubmed-44808552015-06-29 Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model Martins, Jaime A. Rodrigues, João M. F. du Buf, Hans PLoS One Research Article The visual cortex is able to extract disparity information through the use of binocular cells. This process is reflected by the Disparity Energy Model, which describes the role and functioning of simple and complex binocular neuron populations, and how they are able to extract disparity. This model uses explicit cell parameters to mathematically determine preferred cell disparities, like spatial frequencies, orientations, binocular phases and receptive field positions. However, the brain cannot access such explicit cell parameters; it must rely on cell responses. In this article, we implemented a trained binocular neuronal population, which encodes disparity information implicitly. This allows the population to learn how to decode disparities, in a similar way to how our visual system could have developed this ability during evolution. At the same time, responses of monocular simple and complex cells can also encode line and edge information, which is useful for refining disparities at object borders. The brain should then be able, starting from a low-level disparity draft, to integrate all information, including colour and viewpoint perspective, in order to propagate better estimates to higher cortical areas. Public Library of Science 2015-06-24 /pmc/articles/PMC4480855/ /pubmed/26107954 http://dx.doi.org/10.1371/journal.pone.0129908 Text en © 2015 Martins 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
Martins, Jaime A.
Rodrigues, João M. F.
du Buf, Hans
Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model
title Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model
title_full Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model
title_fullStr Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model
title_full_unstemmed Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model
title_short Luminance, Colour, Viewpoint and Border Enhanced Disparity Energy Model
title_sort luminance, colour, viewpoint and border enhanced disparity energy model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4480855/
https://www.ncbi.nlm.nih.gov/pubmed/26107954
http://dx.doi.org/10.1371/journal.pone.0129908
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