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Motor expertise facilitates the accuracy of state extrapolation in perception

Predicting the behavior of objects in the environment is an important requirement to overcome latencies in the sensorimotor system and realize precise actions in rapid situations. Internal forward models that were acquired during motor training might not only be used for efficiently controlling fast...

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Detalles Bibliográficos
Autores principales: Ludolph, Nicolas, Plöger, Jannis, Giese, Martin A., Ilg, Winfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673241/
https://www.ncbi.nlm.nih.gov/pubmed/29107970
http://dx.doi.org/10.1371/journal.pone.0187666
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author Ludolph, Nicolas
Plöger, Jannis
Giese, Martin A.
Ilg, Winfried
author_facet Ludolph, Nicolas
Plöger, Jannis
Giese, Martin A.
Ilg, Winfried
author_sort Ludolph, Nicolas
collection PubMed
description Predicting the behavior of objects in the environment is an important requirement to overcome latencies in the sensorimotor system and realize precise actions in rapid situations. Internal forward models that were acquired during motor training might not only be used for efficiently controlling fast motor behavior but also to facilitate extrapolation performance in purely perceptual tasks. In this study, we investigated whether preceding virtual cart-pole balancing training facilitates the ability to extrapolate the virtual pole motion. Specifically, subjects had to report the expected pole orientation after an occlusion of the pole of 900ms duration. We compared a group of 10 subjects, proficient in performing the virtual cart-pole balancing task, to 10 naïve subjects without motor experience in cart-pole balancing task. Our results demonstrate that preceding motor training increases the accuracy of pole movement extrapolation, although extrapolation is not trained explicitly. Additionally, we modelled subjects’ behaviors and show that the difference in extrapolation performance can be explained by individual differences in the accuracy of internal forward models. When subjects are provided with feedback about the true orientation of the pole after the occlusion in a second phase of the experiment, both groups improve rapidly. The results indicate that the perceptual capability to extrapolate the state of the cart-pole system accurately is implicitly trained during motor learning. We discuss these results in the context of shared representations and action-perception transfer.
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spelling pubmed-56732412017-11-18 Motor expertise facilitates the accuracy of state extrapolation in perception Ludolph, Nicolas Plöger, Jannis Giese, Martin A. Ilg, Winfried PLoS One Research Article Predicting the behavior of objects in the environment is an important requirement to overcome latencies in the sensorimotor system and realize precise actions in rapid situations. Internal forward models that were acquired during motor training might not only be used for efficiently controlling fast motor behavior but also to facilitate extrapolation performance in purely perceptual tasks. In this study, we investigated whether preceding virtual cart-pole balancing training facilitates the ability to extrapolate the virtual pole motion. Specifically, subjects had to report the expected pole orientation after an occlusion of the pole of 900ms duration. We compared a group of 10 subjects, proficient in performing the virtual cart-pole balancing task, to 10 naïve subjects without motor experience in cart-pole balancing task. Our results demonstrate that preceding motor training increases the accuracy of pole movement extrapolation, although extrapolation is not trained explicitly. Additionally, we modelled subjects’ behaviors and show that the difference in extrapolation performance can be explained by individual differences in the accuracy of internal forward models. When subjects are provided with feedback about the true orientation of the pole after the occlusion in a second phase of the experiment, both groups improve rapidly. The results indicate that the perceptual capability to extrapolate the state of the cart-pole system accurately is implicitly trained during motor learning. We discuss these results in the context of shared representations and action-perception transfer. Public Library of Science 2017-11-06 /pmc/articles/PMC5673241/ /pubmed/29107970 http://dx.doi.org/10.1371/journal.pone.0187666 Text en © 2017 Ludolph 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
Ludolph, Nicolas
Plöger, Jannis
Giese, Martin A.
Ilg, Winfried
Motor expertise facilitates the accuracy of state extrapolation in perception
title Motor expertise facilitates the accuracy of state extrapolation in perception
title_full Motor expertise facilitates the accuracy of state extrapolation in perception
title_fullStr Motor expertise facilitates the accuracy of state extrapolation in perception
title_full_unstemmed Motor expertise facilitates the accuracy of state extrapolation in perception
title_short Motor expertise facilitates the accuracy of state extrapolation in perception
title_sort motor expertise facilitates the accuracy of state extrapolation in perception
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673241/
https://www.ncbi.nlm.nih.gov/pubmed/29107970
http://dx.doi.org/10.1371/journal.pone.0187666
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