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The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns

The ability to estimate time intervals subserves many of our behaviors and perceptual experiences. However, it is not clear how aperiodic (AP) stimuli affect our perception of time intervals across sensory modalities. To address this question, we evaluated the human capacity to discriminate between...

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Detalles Bibliográficos
Autores principales: Duarte, Fabiola, Lemus, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550683/
https://www.ncbi.nlm.nih.gov/pubmed/28848406
http://dx.doi.org/10.3389/fnint.2017.00017
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author Duarte, Fabiola
Lemus, Luis
author_facet Duarte, Fabiola
Lemus, Luis
author_sort Duarte, Fabiola
collection PubMed
description The ability to estimate time intervals subserves many of our behaviors and perceptual experiences. However, it is not clear how aperiodic (AP) stimuli affect our perception of time intervals across sensory modalities. To address this question, we evaluated the human capacity to discriminate between two acoustic (A), visual (V) or audiovisual (AV) time intervals of trains of scattered pulses. We first measured the periodicity of those stimuli and then sought for correlations with the accuracy and reaction times (RTs) of the subjects. We found that, for all time intervals tested in our experiment, the visual system consistently perceived AP stimuli as being shorter than the periodic (P) ones. In contrast, such a compression phenomenon was not apparent during auditory trials. Our conclusions are: first, the subjects exposed to P stimuli are more likely to measure their durations accurately. Second, perceptual time compression occurs for AP visual stimuli. Lastly, AV discriminations are determined by A dominance rather than by AV enhancement.
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spelling pubmed-55506832017-08-28 The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns Duarte, Fabiola Lemus, Luis Front Integr Neurosci Neuroscience The ability to estimate time intervals subserves many of our behaviors and perceptual experiences. However, it is not clear how aperiodic (AP) stimuli affect our perception of time intervals across sensory modalities. To address this question, we evaluated the human capacity to discriminate between two acoustic (A), visual (V) or audiovisual (AV) time intervals of trains of scattered pulses. We first measured the periodicity of those stimuli and then sought for correlations with the accuracy and reaction times (RTs) of the subjects. We found that, for all time intervals tested in our experiment, the visual system consistently perceived AP stimuli as being shorter than the periodic (P) ones. In contrast, such a compression phenomenon was not apparent during auditory trials. Our conclusions are: first, the subjects exposed to P stimuli are more likely to measure their durations accurately. Second, perceptual time compression occurs for AP visual stimuli. Lastly, AV discriminations are determined by A dominance rather than by AV enhancement. Frontiers Media S.A. 2017-08-08 /pmc/articles/PMC5550683/ /pubmed/28848406 http://dx.doi.org/10.3389/fnint.2017.00017 Text en Copyright © 2017 Duarte and Lemus. 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
Duarte, Fabiola
Lemus, Luis
The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns
title The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns
title_full The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns
title_fullStr The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns
title_full_unstemmed The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns
title_short The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns
title_sort time is up: compression of visual time interval estimations of bimodal aperiodic patterns
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550683/
https://www.ncbi.nlm.nih.gov/pubmed/28848406
http://dx.doi.org/10.3389/fnint.2017.00017
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