Literature DB >> 25929551

Transfer of learning between unimanual and bimanual rhythmic movement coordination: transfer is a function of the task dynamic.

Winona Snapp-Childs1, Andrew D Wilson, Geoffrey P Bingham.   

Abstract

Under certain conditions, learning can transfer from a trained task to an untrained version of that same task. However, it is as yet unclear what those certain conditions are or why learning transfers when it does. Coordinated rhythmic movement is a valuable model system for investigating transfer because we have a model of the underlying task dynamic that includes perceptual coupling between the limbs being coordinated. The model predicts that (1) coordinated rhythmic movements, both bimanual and unimanual, are organised with respect to relative motion information for relative phase in the coupling function, (2) unimanual is less stable than bimanual coordination because the coupling is unidirectional rather than bidirectional, and (3) learning a new coordination is primarily about learning to perceive and use the relevant information which, with equal perceptual improvement due to training, yields equal transfer of learning from bimanual to unimanual coordination and vice versa [but, given prediction (2), the resulting performance is also conditioned by the intrinsic stability of each task]. In the present study, two groups were trained to produce 90° either unimanually or bimanually, respectively, and tested in respect to learning (namely improved performance in the trained 90° coordination task and improved visual discrimination of 90°) and transfer of learning (to the other, untrained 90° coordination task). Both groups improved in the task condition in which they were trained and in their ability to visually discriminate 90°, and this learning transferred to the untrained condition. When scaled by the relative intrinsic stability of each task, transfer levels were found to be equal. The results are discussed in the context of the perception-action approach to learning and performance.

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Year:  2015        PMID: 25929551     DOI: 10.1007/s00221-015-4292-y

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  41 in total

1.  Perceptual basis of bimanual coordination.

Authors:  F Mechsner; D Kerzel; G Knoblich; W Prinz
Journal:  Nature       Date:  2001-11-01       Impact factor: 49.962

2.  The synchronization of human arm movements to external events.

Authors:  M J Buekers; H P Bogaerts; S P Swinnen; W F Helsen
Journal:  Neurosci Lett       Date:  2000-09-01       Impact factor: 3.046

3.  The learning of 90° continuous relative phase with and without Lissajous feedback: external and internally generated bimanual coordination.

Authors:  Attila J Kovacs; Charles H Shea
Journal:  Acta Psychol (Amst)       Date:  2011-01-08

4.  The dynamics of perception and action.

Authors:  William H Warren
Journal:  Psychol Rev       Date:  2006-04       Impact factor: 8.934

5.  Egocentric and allocentric constraints in the expression of patterns of interlimb coordination.

Authors:  S P Swinnen; K Jardin; R Meulenbroek; N Dounskaia; M H Den Brandt
Journal:  J Cogn Neurosci       Date:  1997-05       Impact factor: 3.225

6.  Exploring interlimb constraints during bimanual graphic performance: effects of muscle grouping and direction.

Authors:  S P Swinnen; K Jardin; S Verschueren; R Meulenbroek; L Franz; N Dounskaia; C B Walter
Journal:  Behav Brain Res       Date:  1998-01       Impact factor: 3.332

7.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

8.  Skilled actions: a task-dynamic approach.

Authors:  E Saltzman; J A Kelso
Journal:  Psychol Rev       Date:  1987-01       Impact factor: 8.934

9.  Learning a coordinated rhythmic movement with task-appropriate coordination feedback.

Authors:  Andrew D Wilson; Winona Snapp-Childs; Rachel Coats; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2010-08-12       Impact factor: 1.972

10.  Human movement coordination implicates relative direction as the information for relative phase.

Authors:  Andrew D Wilson; David R Collins; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2005-05-14       Impact factor: 1.972

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  5 in total

1.  Using visual and/or kinesthetic information to stabilize intrinsic bimanual coordination patterns is a function of movement frequency.

Authors:  Shaochen Huang; Breton Van Syoc; Ruonan Yang; Taylor Kuehn; Derek Smith; Qin Zhu
Journal:  Psychol Res       Date:  2020-01-27

2.  Training 90° bimanual coordination at high frequency yields dependence on kinesthetic information and poor performance of dyadic unimanual coordination.

Authors:  Shaochen Huang; Jacob Layer; Derek Smith; Geoffrey P Bingham; Qin Zhu
Journal:  Hum Mov Sci       Date:  2021-08-10       Impact factor: 2.397

3.  How Moving Together Brings Us Together: When Coordinated Rhythmic Movement Affects Cooperation.

Authors:  Liam Cross; Andrew D Wilson; Sabrina Golonka
Journal:  Front Psychol       Date:  2016-12-22

4.  Asymmetric Adaptability to Temporal Constraints Among Coordination Patterns Differentiated at Early Stages of Learning in Juggling.

Authors:  Kota Yamamoto; Masahiro Shinya; Kazutoshi Kudo
Journal:  Front Psychol       Date:  2018-05-23

5.  Perceptual information supports transfer of learning in coordinated rhythmic movement.

Authors:  Daniel Leach; Zoe Kolokotroni; Andrew D Wilson
Journal:  Psychol Res       Date:  2020-03-04
  5 in total

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