Cargando…

Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model

Two stimuli alternately presented at different locations can evoke a percept of a stimulus continuously moving between the two locations. The neural mechanism underlying this apparent motion (AM) is thought to be increased activation of primary visual cortex (V1) neurons tuned to locations along the...

Descripción completa

Detalles Bibliográficos
Autores principales: Van Humbeeck, Nathalie, Putzeys, Tom, Wagemans, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081194/
https://www.ncbi.nlm.nih.gov/pubmed/27783622
http://dx.doi.org/10.1371/journal.pcbi.1005155
_version_ 1782462847009161216
author Van Humbeeck, Nathalie
Putzeys, Tom
Wagemans, Johan
author_facet Van Humbeeck, Nathalie
Putzeys, Tom
Wagemans, Johan
author_sort Van Humbeeck, Nathalie
collection PubMed
description Two stimuli alternately presented at different locations can evoke a percept of a stimulus continuously moving between the two locations. The neural mechanism underlying this apparent motion (AM) is thought to be increased activation of primary visual cortex (V1) neurons tuned to locations along the AM path, although evidence remains inconclusive. AM masking, which refers to the reduced detectability of stimuli along the AM path, has been taken as evidence for AM-related V1 activation. AM-induced neural responses are thought to interfere with responses to physical stimuli along the path and as such impair the perception of these stimuli. However, AM masking can also be explained by predictive coding models, predicting that responses to stimuli presented on the AM path are suppressed when they match the spatio-temporal prediction of a stimulus moving along the path. In the present study, we find that AM has a distinct effect on the detection of target gratings, limiting the maximum performance at high contrast levels. This masking is strongest when the target orientation is identical to the orientation of the inducers. We developed a V1-like population code model of early visual processing, based on a standard contrast normalization model. We find that AM-related activation in early visual cortex is too small to either cause masking or to be perceived as motion. Our model instead predicts strong suppression of early sensory responses during AM, consistent with the theoretical framework of predictive coding.
format Online
Article
Text
id pubmed-5081194
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-50811942016-11-04 Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model Van Humbeeck, Nathalie Putzeys, Tom Wagemans, Johan PLoS Comput Biol Research Article Two stimuli alternately presented at different locations can evoke a percept of a stimulus continuously moving between the two locations. The neural mechanism underlying this apparent motion (AM) is thought to be increased activation of primary visual cortex (V1) neurons tuned to locations along the AM path, although evidence remains inconclusive. AM masking, which refers to the reduced detectability of stimuli along the AM path, has been taken as evidence for AM-related V1 activation. AM-induced neural responses are thought to interfere with responses to physical stimuli along the path and as such impair the perception of these stimuli. However, AM masking can also be explained by predictive coding models, predicting that responses to stimuli presented on the AM path are suppressed when they match the spatio-temporal prediction of a stimulus moving along the path. In the present study, we find that AM has a distinct effect on the detection of target gratings, limiting the maximum performance at high contrast levels. This masking is strongest when the target orientation is identical to the orientation of the inducers. We developed a V1-like population code model of early visual processing, based on a standard contrast normalization model. We find that AM-related activation in early visual cortex is too small to either cause masking or to be perceived as motion. Our model instead predicts strong suppression of early sensory responses during AM, consistent with the theoretical framework of predictive coding. Public Library of Science 2016-10-26 /pmc/articles/PMC5081194/ /pubmed/27783622 http://dx.doi.org/10.1371/journal.pcbi.1005155 Text en © 2016 Van Humbeeck 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Van Humbeeck, Nathalie
Putzeys, Tom
Wagemans, Johan
Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model
title Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model
title_full Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model
title_fullStr Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model
title_full_unstemmed Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model
title_short Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model
title_sort apparent motion suppresses responses in early visual cortex: a population code model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081194/
https://www.ncbi.nlm.nih.gov/pubmed/27783622
http://dx.doi.org/10.1371/journal.pcbi.1005155
work_keys_str_mv AT vanhumbeecknathalie apparentmotionsuppressesresponsesinearlyvisualcortexapopulationcodemodel
AT putzeystom apparentmotionsuppressesresponsesinearlyvisualcortexapopulationcodemodel
AT wagemansjohan apparentmotionsuppressesresponsesinearlyvisualcortexapopulationcodemodel