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Visuomotor learning from postdictive motor error

Sensorimotor learning adapts motor output to maintain movement accuracy. For saccadic eye movements, learning also alters space perception, suggesting a dissociation between the performed saccade and its internal representation derived from corollary discharge (CD). This is critical since learning i...

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Detalles Bibliográficos
Autores principales: Masselink, Jana, Lappe, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057815/
https://www.ncbi.nlm.nih.gov/pubmed/33687328
http://dx.doi.org/10.7554/eLife.64278
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author Masselink, Jana
Lappe, Markus
author_facet Masselink, Jana
Lappe, Markus
author_sort Masselink, Jana
collection PubMed
description Sensorimotor learning adapts motor output to maintain movement accuracy. For saccadic eye movements, learning also alters space perception, suggesting a dissociation between the performed saccade and its internal representation derived from corollary discharge (CD). This is critical since learning is commonly believed to be driven by CD-based visual prediction error. We estimate the internal saccade representation through pre- and trans-saccadic target localization, showing that it decouples from the actual saccade during learning. We present a model that explains motor and perceptual changes by collective plasticity of spatial target percept, motor command, and a forward dynamics model that transforms CD from motor into visuospatial coordinates. We show that learning does not follow visual prediction error but instead a postdictive update of space after saccade landing. We conclude that trans-saccadic space perception guides motor learning via CD-based postdiction of motor error under the assumption of a stable world.
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spelling pubmed-80578152021-04-22 Visuomotor learning from postdictive motor error Masselink, Jana Lappe, Markus eLife Computational and Systems Biology Sensorimotor learning adapts motor output to maintain movement accuracy. For saccadic eye movements, learning also alters space perception, suggesting a dissociation between the performed saccade and its internal representation derived from corollary discharge (CD). This is critical since learning is commonly believed to be driven by CD-based visual prediction error. We estimate the internal saccade representation through pre- and trans-saccadic target localization, showing that it decouples from the actual saccade during learning. We present a model that explains motor and perceptual changes by collective plasticity of spatial target percept, motor command, and a forward dynamics model that transforms CD from motor into visuospatial coordinates. We show that learning does not follow visual prediction error but instead a postdictive update of space after saccade landing. We conclude that trans-saccadic space perception guides motor learning via CD-based postdiction of motor error under the assumption of a stable world. eLife Sciences Publications, Ltd 2021-03-09 /pmc/articles/PMC8057815/ /pubmed/33687328 http://dx.doi.org/10.7554/eLife.64278 Text en © 2021, Masselink and Lappe https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Masselink, Jana
Lappe, Markus
Visuomotor learning from postdictive motor error
title Visuomotor learning from postdictive motor error
title_full Visuomotor learning from postdictive motor error
title_fullStr Visuomotor learning from postdictive motor error
title_full_unstemmed Visuomotor learning from postdictive motor error
title_short Visuomotor learning from postdictive motor error
title_sort visuomotor learning from postdictive motor error
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057815/
https://www.ncbi.nlm.nih.gov/pubmed/33687328
http://dx.doi.org/10.7554/eLife.64278
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