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Can the structure of motor variability predict learning rate?
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Título : Can the structure of motor variability predict learning rate? |
Autor : Barbado, David ![](/image/ORCID.jpg) Caballero, Carla Moreside, janice ![](/image/ORCID.jpg) Vera-García, Francisco J. Moreno, Francisco J. |
Editor : American Psychological Association |
Departamento: Departamentos de la UMH::Ciencias del Deporte |
Fecha de publicación: 2017 |
URI : https://hdl.handle.net/11000/30897 |
Resumen :
Recent studies show that motor variability is actively regulated as an exploration tool to promote learning
in reward-based tasks. However, its role in learning processes during error-based tasks, when a reduction
of the motor variability is required to achieve good performance, is still unclear. In this study, we
hypothesized that error-based learning not only depends on exploration but also on the individuals’
ability to measure and predict the motor error. Previous studies identified a less auto-correlated motor
variability as a higher ability to perform motion adjustments. Two experiments investigated the relationship
between motor learning and variability, analyzing the long-range autocorrelation of the center
of pressure fluctuations through the score of a Detrended Fluctuation Analysis in balance tasks. In
Experiment 1, we assessed the relationship between variability and learning rate using a standing balance
task. Based on the results of this experiment, and to maximize learning, we performed a second
experiment with a more difficult sitting balance task and increased practice. The learning rate of the 2
groups with similar balance performances but different scores was compared. Individuals with a lower
score showed a higher learning rate. Because the scores reveal how the motor output changes over
time, instead of the magnitude of those changes, the higher learning rate is mainly linked to the higher
error sensitivity rather than the exploration strategies. The results of this study highlight the relevance of
the structure of output motor variability as a predictor of learning rate in error-based tasks.
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Palabras clave/Materias: balance learning rate variability |
Área de conocimiento : CDU: Bellas artes: Diversiones. Espectáculos. Cine. Teatro. Danza. Juegos.Deportes |
Tipo documento : application/pdf |
Derechos de acceso: info:eu-repo/semantics/closedAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : http://dx.doi.org/10.1037/xhp0000303 |
Aparece en las colecciones: Artículos Ciencias del Deporte
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La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.