Literature DB >> 14766500

Learning the cascade juggle: a dynamical systems analysis.

P J Beek1, A A van Santvoord.   

Abstract

How beginning jugglers discover the temporal constraints governing the juggling workspace while learning to juggle three balls in a cascade pattern was the subject of this investigation. On the basis of previous theoretical and experimental work on expert jugglers, we proposed a three-stage model of the learning process, for which objective evidence was sought. The first stage consists of learning to accommodate the real-time requirements of juggling, as expressed in Shannon's equation of juggling, which states that, averaged over time, the cycle time of the hands should be a fixed proportion of the cycle time of the balls. The second stage of learning consists of discovering the primary frequency lock of.75 between the shorter term dynamical regime underlying the repetitive subtask of transporting a ball and the longer term dynamical regime underlying the total hand loop cycle. The third and last stage of learning consists of discovering the principles of frequency modulation from.75 to lower (averaged) values of the proportion of time that a hand carries a ball during the total hand cycle time. Twenty subjects were taught to juggle three balls in a cascade pattern. Ten subjects were trained with the aid of an instructor and a metronome, and 10 with the instructor only. The metronome proved to be of no particular additional help, but the timing results obtained were in agreement with the proposed three stages of learning. The picture that emerged from this study was that learning a new motor skill involves the discovery of invariance's or fixed points in the perceptual-motor workspace associated with that skill, from which excursions can be made and the skill further refined. Because these fixed points afford stability of operation, discovering them logically and factually precedes the acquisition of the functional adaptability and flexibility of operation ("flair") inherent to frequency modulation.

Year:  1992        PMID: 14766500     DOI: 10.1080/00222895.1992.9941604

Source DB:  PubMed          Journal:  J Mot Behav        ISSN: 0022-2895            Impact factor:   1.328


  7 in total

1.  Learning a specific, individual and generalizable coordination function: evaluating the variability of practice hypothesis in motor learning.

Authors:  Matheus M Pacheco; Karl M Newell
Journal:  Exp Brain Res       Date:  2018-09-22       Impact factor: 1.972

Review 2.  Sports Injury Forecasting and Complexity: A Synergetic Approach.

Authors:  Sergio T Fonseca; Thales R Souza; Evert Verhagen; Richard van Emmerik; Natalia F N Bittencourt; Luciana D M Mendonça; André G P Andrade; Renan A Resende; Juliana M Ocarino
Journal:  Sports Med       Date:  2020-10       Impact factor: 11.136

3.  Learning a single limb multijoint coordination pattern: the impact of a mechanical constraint on the coordination dynamics of learning and transfer.

Authors:  John J Buchanan
Journal:  Exp Brain Res       Date:  2003-12-19       Impact factor: 1.972

4.  Variability in motor learning: relocating, channeling and reducing noise.

Authors:  R G Cohen; D Sternad
Journal:  Exp Brain Res       Date:  2008-10-25       Impact factor: 1.972

5.  Behavioral impact of unisensory and multisensory audio-tactile events: pros and cons for interlimb coordination in juggling.

Authors:  Gregory Zelic; Denis Mottet; Julien Lagarde
Journal:  PLoS One       Date:  2012-02-27       Impact factor: 3.240

6.  The degrees of freedom problem in human standing posture: collective and component dynamics.

Authors:  Zheng Wang; Ji Hyun Ko; John H Challis; Karl M Newell
Journal:  PLoS One       Date:  2014-01-10       Impact factor: 3.240

7.  Napping after complex motor learning enhances juggling performance.

Authors:  Yuko Morita; Keiko Ogawa; Sunao Uchida
Journal:  Sleep Sci       Date:  2016-04-20
  7 in total

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