Motor memories of object dynamics are categorically organized

The ability to predict the dynamics of objects, linking applied force to motion, underlies our capacity to perform many of the tasks we carry out on a daily basis. Thus, a fundamental question is how the dynamics of the myriad objects we interact with are organized in memory. Using a custom-built th...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Evan Cesanek, Zhaoran Zhang, James N Ingram, Daniel M Wolpert, J Randall Flanagan
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	object manipulation mechanical properties motor learning predictive control memory categories Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/648ccccc8c09424cbafa1330dbd4817a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:648ccccc8c09424cbafa1330dbd4817a
record_format	dspace
spelling	oai:doaj.org-article:648ccccc8c09424cbafa1330dbd4817a2021-12-01T15:36:29ZMotor memories of object dynamics are categorically organized10.7554/eLife.716272050-084Xe71627https://doaj.org/article/648ccccc8c09424cbafa1330dbd4817a2021-11-01T00:00:00Zhttps://elifesciences.org/articles/71627https://doaj.org/toc/2050-084XThe ability to predict the dynamics of objects, linking applied force to motion, underlies our capacity to perform many of the tasks we carry out on a daily basis. Thus, a fundamental question is how the dynamics of the myriad objects we interact with are organized in memory. Using a custom-built three-dimensional robotic interface that allowed us to simulate objects of varying appearance and weight, we examined how participants learned the weights of sets of objects that they repeatedly lifted. We find strong support for the novel hypothesis that motor memories of object dynamics are organized categorically, in terms of families, based on covariation in their visual and mechanical properties. A striking prediction of this hypothesis, supported by our findings and not predicted by standard associative map models, is that outlier objects with weights that deviate from the family-predicted weight will never be learned despite causing repeated lifting errors.Evan CesanekZhaoran ZhangJames N IngramDaniel M WolpertJ Randall FlanaganeLife Sciences Publications Ltdarticleobject manipulationmechanical propertiesmotor learningpredictive controlmemorycategoriesMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	object manipulation mechanical properties motor learning predictive control memory categories Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	object manipulation mechanical properties motor learning predictive control memory categories Medicine R Science Q Biology (General) QH301-705.5 Evan Cesanek Zhaoran Zhang James N Ingram Daniel M Wolpert J Randall Flanagan Motor memories of object dynamics are categorically organized
description	The ability to predict the dynamics of objects, linking applied force to motion, underlies our capacity to perform many of the tasks we carry out on a daily basis. Thus, a fundamental question is how the dynamics of the myriad objects we interact with are organized in memory. Using a custom-built three-dimensional robotic interface that allowed us to simulate objects of varying appearance and weight, we examined how participants learned the weights of sets of objects that they repeatedly lifted. We find strong support for the novel hypothesis that motor memories of object dynamics are organized categorically, in terms of families, based on covariation in their visual and mechanical properties. A striking prediction of this hypothesis, supported by our findings and not predicted by standard associative map models, is that outlier objects with weights that deviate from the family-predicted weight will never be learned despite causing repeated lifting errors.
format	article
author	Evan Cesanek Zhaoran Zhang James N Ingram Daniel M Wolpert J Randall Flanagan
author_facet	Evan Cesanek Zhaoran Zhang James N Ingram Daniel M Wolpert J Randall Flanagan
author_sort	Evan Cesanek
title	Motor memories of object dynamics are categorically organized
title_short	Motor memories of object dynamics are categorically organized
title_full	Motor memories of object dynamics are categorically organized
title_fullStr	Motor memories of object dynamics are categorically organized
title_full_unstemmed	Motor memories of object dynamics are categorically organized
title_sort	motor memories of object dynamics are categorically organized
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/648ccccc8c09424cbafa1330dbd4817a
work_keys_str_mv	AT evancesanek motormemoriesofobjectdynamicsarecategoricallyorganized AT zhaoranzhang motormemoriesofobjectdynamicsarecategoricallyorganized AT jamesningram motormemoriesofobjectdynamicsarecategoricallyorganized AT danielmwolpert motormemoriesofobjectdynamicsarecategoricallyorganized AT jrandallflanagan motormemoriesofobjectdynamicsarecategoricallyorganized
_version_	1718404819370115072

Motor memories of object dynamics are categorically organized

Ejemplares similares