Literature DB >> 34363513

The role of intentionality in the performance of a learned 90° bimanual rhythmic coordination during frequency scaling: data and model.

Rachel A Herth1, Qin Zhu2, Geoffrey P Bingham3,4.   

Abstract

Two rhythmic coordinations, 0° and 180° relative phase, can be performed stably at preferred frequency (~ 1 Hz) without training. Evidence indicates that both 0° and 180° coordination entail detection of the relative direction of movement. At higher frequencies, this yields instability of 180° and spontaneous transition to 0°. The ability to perform a 90° coordination can be acquired by learning to detect and use relative position as information. We now investigate the skilled performance of 90° bimanual coordination with frequency scaling and whether 90° coordination exhibits mode switching to 0° or 180° at higher frequencies. Unlike the switching from 180° to 0°, a transition from the learned 90° coordination to the intrinsic 0° or 180° modes would entail a change in information. This would seem to require intentional decisions during performance as would correcting performance that had strayed from 90°. Relatedly, correction would seem to be an intrinsic part of the performance of 90° during learning. We investigated whether it remains so. We tested bimanual coordination at 90° under both noninterference and correcting instructions. Under correcting instructions, bimanual 90° coordination remained stable at both low and high frequencies. Noninterference instructions yielded stable performance at lower frequencies and switching to 0° or 180° at higher frequencies. Thus, correction is optional and switching to the intrinsic modes occurred. We extended the Bingham (Ecol Psychol 16:45-53, 2004a; Advances in psychology, vol. 135, Time-to-contact, Elsevier Science Publishers, 2004b) model for 0° and 180° coordination to create a dynamical, perception-action account of learned 90° bimanual coordination, in which mode switching and correction were both initiated as the information required for performance of 90° fell below threshold. This means that intentional decisions about what coordination to perform and whether to correct occurred only before performance was begun, not during performance. The extended strictly dynamical model was successfully used to simulate performance of participants in the experiments.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Movement stability; Perception–action; Perceptual learning; Phase switching; Rhythmic coordination

Year:  2021        PMID: 34363513     DOI: 10.1007/s00221-021-06173-x

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


  28 in total

1.  Individual differences and the use of nonspecifying variables in learning to perceive distance and size: comments on McConnell, Muchisky, and Bingham (1998).

Authors:  D M Jacobs; C F Michaels
Journal:  Percept Psychophys       Date:  2001-04

2.  When visuo-motor incongruence aids motor performance: the effect of perceiving motion structures during transformed visual feedback on bimanual coordination.

Authors:  Hedwig Bogaerts; Martinus J Buekers; Frank T Zaal; Stephan P Swinnen
Journal:  Behav Brain Res       Date:  2003-01-06       Impact factor: 3.332

3.  The effects of enhanced visual feedback on human synchronization.

Authors:  Tanja Ceux; Martinus J Buekers; Gilles Montagne
Journal:  Neurosci Lett       Date:  2003-10-02       Impact factor: 3.046

4.  A theoretical model of phase transitions in human hand movements.

Authors:  H Haken; J A Kelso; H Bunz
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

5.  Why change gaits? Dynamics of the walk-run transition.

Authors:  F J Diedrich; W H Warren
Journal:  J Exp Psychol Hum Percept Perform       Date:  1995-02       Impact factor: 3.332

6.  Increasingly complex bimanual multi-frequency coordination patterns are equally easy to perform with on-line relative velocity feedback.

Authors:  Jason Boyles; Stefan Panzer; Charles H Shea
Journal:  Exp Brain Res       Date:  2011-11-26       Impact factor: 1.972

7.  Frequency detuning of the phase entrainment dynamics of visually coupled rhythmic movements.

Authors:  P G Amazeen; R C Schmidt; M T Turvey
Journal:  Biol Cybern       Date:  1995       Impact factor: 2.086

8.  A neuro-mechanical model for interpersonal coordination.

Authors:  Aymar de Rugy; Robin Salesse; Olivier Oullier; Jean-Jacques Temprado
Journal:  Biol Cybern       Date:  2006-03-09       Impact factor: 2.086

Review 9.  Energy-saving mechanisms in walking and running.

Authors:  R M Alexander
Journal:  J Exp Biol       Date:  1991-10       Impact factor: 3.312

10.  The 50s cliff: perceptuo-motor learning rates across the lifespan.

Authors:  Rachel O Coats; Andrew D Wilson; Winona Snapp-Childs; Aaron J Fath; Geoffrey P Bingham
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

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  2 in total

1.  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

2.  The Influence of Altered-Gravity on Bimanual Coordination: Retention and Transfer.

Authors:  Ana Diaz-Artiles; Yiyu Wang; Madison M Davis; Renee Abbott; Nathan Keller; Deanna M Kennedy
Journal:  Front Physiol       Date:  2022-01-07       Impact factor: 4.566

  2 in total

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