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The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making

Perceptual decisions requiring the comparison of spatially distributed stimuli that are fixated sequentially might be influenced by fluctuations in visual attention. We used two psychophysical tasks with human subjects to investigate the extent to which visual attention influences simple perceptual...

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Detalles Bibliográficos
Autores principales: Tavares, Gabriela, Perona, Pietro, Rangel, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573732/
https://www.ncbi.nlm.nih.gov/pubmed/28894413
http://dx.doi.org/10.3389/fnins.2017.00468
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author Tavares, Gabriela
Perona, Pietro
Rangel, Antonio
author_facet Tavares, Gabriela
Perona, Pietro
Rangel, Antonio
author_sort Tavares, Gabriela
collection PubMed
description Perceptual decisions requiring the comparison of spatially distributed stimuli that are fixated sequentially might be influenced by fluctuations in visual attention. We used two psychophysical tasks with human subjects to investigate the extent to which visual attention influences simple perceptual choices, and to test the extent to which the attentional Drift Diffusion Model (aDDM) provides a good computational description of how attention affects the underlying decision processes. We find evidence for sizable attentional choice biases and that the aDDM provides a reasonable quantitative description of the relationship between fluctuations in visual attention, choices and reaction times. We also find that exogenous manipulations of attention induce choice biases consistent with the predictions of the model.
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spelling pubmed-55737322017-09-11 The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making Tavares, Gabriela Perona, Pietro Rangel, Antonio Front Neurosci Neuroscience Perceptual decisions requiring the comparison of spatially distributed stimuli that are fixated sequentially might be influenced by fluctuations in visual attention. We used two psychophysical tasks with human subjects to investigate the extent to which visual attention influences simple perceptual choices, and to test the extent to which the attentional Drift Diffusion Model (aDDM) provides a good computational description of how attention affects the underlying decision processes. We find evidence for sizable attentional choice biases and that the aDDM provides a reasonable quantitative description of the relationship between fluctuations in visual attention, choices and reaction times. We also find that exogenous manipulations of attention induce choice biases consistent with the predictions of the model. Frontiers Media S.A. 2017-08-24 /pmc/articles/PMC5573732/ /pubmed/28894413 http://dx.doi.org/10.3389/fnins.2017.00468 Text en Copyright © 2017 Tavares, Perona and Rangel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Tavares, Gabriela
Perona, Pietro
Rangel, Antonio
The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
title The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
title_full The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
title_fullStr The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
title_full_unstemmed The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
title_short The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
title_sort attentional drift diffusion model of simple perceptual decision-making
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573732/
https://www.ncbi.nlm.nih.gov/pubmed/28894413
http://dx.doi.org/10.3389/fnins.2017.00468
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