Literature DB >> 20541489

Motor learning.

Daniel M Wolpert1, J Randall Flanagan.   

Abstract

Although learning a motor skill, such as a tennis stroke, feels like a unitary experience, researchers who study motor control and learning break the processes involved into a number of interacting components. These components can be organized into four main groups. First, skilled performance requires the effective and efficient gathering of sensory information, such as deciding where and when to direct one's gaze around the court, and thus an important component of skill acquisition involves learning how best to extract task-relevant information. Second, the performer must learn key features of the task such as the geometry and mechanics of the tennis racket and ball, the properties of the court surface, and how the wind affects the ball's flight. Third, the player needs to set up different classes of control that include predictive and reactive control mechanisms that generate appropriate motor commands to achieve the task goals, as well as compliance control that specifies, for example, the stiffness with which the arm holds the racket. Finally, the successful performer can learn higher-level skills such as anticipating and countering the opponent's strategy and making effective decisions about shot selection. In this Primer we shall consider these components of motor learning using as an example how we learn to play tennis. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20541489     DOI: 10.1016/j.cub.2010.04.035

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  33 in total

1.  Grab an object with a tool and change your body: tool-use-dependent changes of body representation for action.

Authors:  Lucilla Cardinali; Stéphane Jacobs; Claudio Brozzoli; Francesca Frassinetti; Alice C Roy; Alessandro Farnè
Journal:  Exp Brain Res       Date:  2012-02-17       Impact factor: 1.972

2.  Perceiving transformed movements when using tools.

Authors:  Christine Sutter; Sandra Sülzenbrück
Journal:  Exp Brain Res       Date:  2012-04       Impact factor: 1.972

3.  Exploring structural learning in handwriting.

Authors:  Robyn L Johnson; Peter R Culmer; Melanie R Burke; Mark Mon-Williams; Richard M Wilkie
Journal:  Exp Brain Res       Date:  2010-10-24       Impact factor: 1.972

4.  Is tracing or copying better when learning to reproduce a pattern?

Authors:  C Gonzalez; J Anderson; P Culmer; M R Burke; M Mon-Williams; R M Wilkie
Journal:  Exp Brain Res       Date:  2010-11-11       Impact factor: 1.972

5.  Sonification and haptic feedback in addition to visual feedback enhances complex motor task learning.

Authors:  Roland Sigrist; Georg Rauter; Laura Marchal-Crespo; Robert Riener; Peter Wolf
Journal:  Exp Brain Res       Date:  2014-12-16       Impact factor: 1.972

6.  Looking at the task in hand impairs motor learning.

Authors:  Richard M Wilkie; Robyn L Johnson; Peter R Culmer; Richard Allen; Mark Mon-Williams
Journal:  J Neurophysiol       Date:  2012-09-19       Impact factor: 2.714

Review 7.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

Authors:  Roland Sigrist; Georg Rauter; Robert Riener; Peter Wolf
Journal:  Psychon Bull Rev       Date:  2013-02

8.  Parallel specification of competing sensorimotor control policies for alternative action options.

Authors:  Jason P Gallivan; Lindsey Logan; Daniel M Wolpert; J Randall Flanagan
Journal:  Nat Neurosci       Date:  2016-01-11       Impact factor: 24.884

Review 9.  Thalamus plays a central role in ongoing cortical functioning.

Authors:  S Murray Sherman
Journal:  Nat Neurosci       Date:  2016-04       Impact factor: 24.884

10.  Adaptation of lift forces in object manipulation through action observation.

Authors:  Andreas F Reichelt; Alyssa M Ash; Lee A Baugh; Roland S Johansson; J Randall Flanagan
Journal:  Exp Brain Res       Date:  2013-05-17       Impact factor: 1.972

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