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Integration of speed and time for estimating time to contact
To coordinate movements with events in a dynamic environment the brain has to anticipate when those events occur. A classic example is the estimation of time to contact (TTC), that is, when an object reaches a target. It is thought that TTC is estimated from kinematic variables. For example, a tenni...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866542/ https://www.ncbi.nlm.nih.gov/pubmed/29507200 http://dx.doi.org/10.1073/pnas.1713316115 |
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author | Chang, Chia-Jung Jazayeri, Mehrdad |
author_facet | Chang, Chia-Jung Jazayeri, Mehrdad |
author_sort | Chang, Chia-Jung |
collection | PubMed |
description | To coordinate movements with events in a dynamic environment the brain has to anticipate when those events occur. A classic example is the estimation of time to contact (TTC), that is, when an object reaches a target. It is thought that TTC is estimated from kinematic variables. For example, a tennis player might use an estimate of distance (d) and speed (v) to estimate TTC (TTC = d/v). However, the tennis player may instead estimate TTC as twice the time it takes for the ball to move from the serve line to the net line. This latter strategy does not rely on kinematics and instead computes TTC solely from temporal cues. Which of these two strategies do humans use to estimate TTC? Considering that both speed and time estimates are inherently uncertain and the ability of the human brain to combine different sources of information, we hypothesized that humans estimate TTC by integrating speed information with temporal cues. We evaluated this hypothesis systematically using psychophysics and Bayesian modeling. Results indicated that humans rely on both speed information and temporal cues and integrate them to optimize their TTC estimates when both cues are present. These findings suggest that the brain’s timing mechanisms are actively engaged when interacting with dynamic stimuli. |
format | Online Article Text |
id | pubmed-5866542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-58665422018-03-29 Integration of speed and time for estimating time to contact Chang, Chia-Jung Jazayeri, Mehrdad Proc Natl Acad Sci U S A PNAS Plus To coordinate movements with events in a dynamic environment the brain has to anticipate when those events occur. A classic example is the estimation of time to contact (TTC), that is, when an object reaches a target. It is thought that TTC is estimated from kinematic variables. For example, a tennis player might use an estimate of distance (d) and speed (v) to estimate TTC (TTC = d/v). However, the tennis player may instead estimate TTC as twice the time it takes for the ball to move from the serve line to the net line. This latter strategy does not rely on kinematics and instead computes TTC solely from temporal cues. Which of these two strategies do humans use to estimate TTC? Considering that both speed and time estimates are inherently uncertain and the ability of the human brain to combine different sources of information, we hypothesized that humans estimate TTC by integrating speed information with temporal cues. We evaluated this hypothesis systematically using psychophysics and Bayesian modeling. Results indicated that humans rely on both speed information and temporal cues and integrate them to optimize their TTC estimates when both cues are present. These findings suggest that the brain’s timing mechanisms are actively engaged when interacting with dynamic stimuli. National Academy of Sciences 2018-03-20 2018-03-05 /pmc/articles/PMC5866542/ /pubmed/29507200 http://dx.doi.org/10.1073/pnas.1713316115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Chang, Chia-Jung Jazayeri, Mehrdad Integration of speed and time for estimating time to contact |
title | Integration of speed and time for estimating time to contact |
title_full | Integration of speed and time for estimating time to contact |
title_fullStr | Integration of speed and time for estimating time to contact |
title_full_unstemmed | Integration of speed and time for estimating time to contact |
title_short | Integration of speed and time for estimating time to contact |
title_sort | integration of speed and time for estimating time to contact |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5866542/ https://www.ncbi.nlm.nih.gov/pubmed/29507200 http://dx.doi.org/10.1073/pnas.1713316115 |
work_keys_str_mv | AT changchiajung integrationofspeedandtimeforestimatingtimetocontact AT jazayerimehrdad integrationofspeedandtimeforestimatingtimetocontact |