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Binocular summation of chance decisions

Seeing with two eyes usually helps one respond faster. Here we show that with ambiguous stimuli, binocular viewing can paradoxically slow down reaction time. This is explained by the observers basing their decision on a noisy neuronal representation within the visual system, with the added noise bre...

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Detalles Bibliográficos
Autores principales: Yehezkel, Oren, Sterkin, Anna, Sagi, Dov, Polat, Uri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4649466/
https://www.ncbi.nlm.nih.gov/pubmed/26577900
http://dx.doi.org/10.1038/srep16799
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author Yehezkel, Oren
Sterkin, Anna
Sagi, Dov
Polat, Uri
author_facet Yehezkel, Oren
Sterkin, Anna
Sagi, Dov
Polat, Uri
author_sort Yehezkel, Oren
collection PubMed
description Seeing with two eyes usually helps one respond faster. Here we show that with ambiguous stimuli, binocular viewing can paradoxically slow down reaction time. This is explained by the observers basing their decision on a noisy neuronal representation within the visual system, with the added noise breaking the symmetry between the two possible interpretations. Binocular integration improves the representation by reducing the noise, increasing ambiguity, and decision time. The neuronal Accumulator (Race) model is applied to quantify the underlying binocular integration. The model accounts for the distributions of reaction times, and predicts suboptimal integration between eyes. We conclude that under ambiguous stimulation neuronal noise within the visual system determines responses.
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spelling pubmed-46494662015-11-23 Binocular summation of chance decisions Yehezkel, Oren Sterkin, Anna Sagi, Dov Polat, Uri Sci Rep Article Seeing with two eyes usually helps one respond faster. Here we show that with ambiguous stimuli, binocular viewing can paradoxically slow down reaction time. This is explained by the observers basing their decision on a noisy neuronal representation within the visual system, with the added noise breaking the symmetry between the two possible interpretations. Binocular integration improves the representation by reducing the noise, increasing ambiguity, and decision time. The neuronal Accumulator (Race) model is applied to quantify the underlying binocular integration. The model accounts for the distributions of reaction times, and predicts suboptimal integration between eyes. We conclude that under ambiguous stimulation neuronal noise within the visual system determines responses. Nature Publishing Group 2015-11-18 /pmc/articles/PMC4649466/ /pubmed/26577900 http://dx.doi.org/10.1038/srep16799 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Yehezkel, Oren
Sterkin, Anna
Sagi, Dov
Polat, Uri
Binocular summation of chance decisions
title Binocular summation of chance decisions
title_full Binocular summation of chance decisions
title_fullStr Binocular summation of chance decisions
title_full_unstemmed Binocular summation of chance decisions
title_short Binocular summation of chance decisions
title_sort binocular summation of chance decisions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4649466/
https://www.ncbi.nlm.nih.gov/pubmed/26577900
http://dx.doi.org/10.1038/srep16799
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