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Behavioral and physiological correlates of kinetically tracking a chaotic target
Humans can innately track a moving target by anticipating its future position from a brief history of observations. While ballistic trajectories can be readily extrapolated, many natural and artificial systems are governed by more general nonlinear dynamics and, therefore, can produce highly irregul...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500904/ https://www.ncbi.nlm.nih.gov/pubmed/32946493 http://dx.doi.org/10.1371/journal.pone.0239471 |
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author | Takagi, Atsushi Furuta, Ryoga Saetia, Supat Yoshimura, Natsue Koike, Yasuharu Minati, Ludovico |
author_facet | Takagi, Atsushi Furuta, Ryoga Saetia, Supat Yoshimura, Natsue Koike, Yasuharu Minati, Ludovico |
author_sort | Takagi, Atsushi |
collection | PubMed |
description | Humans can innately track a moving target by anticipating its future position from a brief history of observations. While ballistic trajectories can be readily extrapolated, many natural and artificial systems are governed by more general nonlinear dynamics and, therefore, can produce highly irregular motion. Yet, relatively little is known regarding the behavioral and physiological underpinnings of prediction and tracking in the presence of chaos. Here, we investigated in lab settings whether participants could manually follow the orbit of a paradigmatic chaotic system, the Rössler equations, on the (x,y) plane under different settings of a control parameter, which determined the prominence of transients in the target position. Tracking accuracy was negatively related to the level of unpredictability and folding. Nevertheless, while participants initially reacted to the transients, they gradually learned to anticipate it. This was accompanied by a decrease in muscular co-contraction, alongside enhanced activity in the theta and beta EEG bands for the highest levels of chaoticity. Furthermore, greater phase synchronization of breathing was observed. Taken together, these findings point to the possible ability of the nervous system to implicitly learn topological regularities even in the context of highly irregular motion, reflecting in multiple observables at the physiological level. |
format | Online Article Text |
id | pubmed-7500904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75009042020-09-28 Behavioral and physiological correlates of kinetically tracking a chaotic target Takagi, Atsushi Furuta, Ryoga Saetia, Supat Yoshimura, Natsue Koike, Yasuharu Minati, Ludovico PLoS One Research Article Humans can innately track a moving target by anticipating its future position from a brief history of observations. While ballistic trajectories can be readily extrapolated, many natural and artificial systems are governed by more general nonlinear dynamics and, therefore, can produce highly irregular motion. Yet, relatively little is known regarding the behavioral and physiological underpinnings of prediction and tracking in the presence of chaos. Here, we investigated in lab settings whether participants could manually follow the orbit of a paradigmatic chaotic system, the Rössler equations, on the (x,y) plane under different settings of a control parameter, which determined the prominence of transients in the target position. Tracking accuracy was negatively related to the level of unpredictability and folding. Nevertheless, while participants initially reacted to the transients, they gradually learned to anticipate it. This was accompanied by a decrease in muscular co-contraction, alongside enhanced activity in the theta and beta EEG bands for the highest levels of chaoticity. Furthermore, greater phase synchronization of breathing was observed. Taken together, these findings point to the possible ability of the nervous system to implicitly learn topological regularities even in the context of highly irregular motion, reflecting in multiple observables at the physiological level. Public Library of Science 2020-09-18 /pmc/articles/PMC7500904/ /pubmed/32946493 http://dx.doi.org/10.1371/journal.pone.0239471 Text en © 2020 Takagi 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 Takagi, Atsushi Furuta, Ryoga Saetia, Supat Yoshimura, Natsue Koike, Yasuharu Minati, Ludovico Behavioral and physiological correlates of kinetically tracking a chaotic target |
title | Behavioral and physiological correlates of kinetically tracking a chaotic target |
title_full | Behavioral and physiological correlates of kinetically tracking a chaotic target |
title_fullStr | Behavioral and physiological correlates of kinetically tracking a chaotic target |
title_full_unstemmed | Behavioral and physiological correlates of kinetically tracking a chaotic target |
title_short | Behavioral and physiological correlates of kinetically tracking a chaotic target |
title_sort | behavioral and physiological correlates of kinetically tracking a chaotic target |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500904/ https://www.ncbi.nlm.nih.gov/pubmed/32946493 http://dx.doi.org/10.1371/journal.pone.0239471 |
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