Literature DB >> 21952789

The stability of rhythmic movement coordination depends on relative speed: the Bingham model supported.

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

Abstract

Following many studies showing that the coupling in bimanual coordination can be perceptual, Bingham (Ecol Psychol in 16:45-53, 2001; 2004a, b) proposed a dynamical model of such movements. The model contains three key hypotheses: (1) Being able to produce stable coordinative movements is a function of the ability to perceive relative phase, (2) the information to perceive relative phase is relative direction of motion, and (3) the ability to resolve this information is conditioned by relative speed. The first two hypotheses have been well supported (Wilson and Bingham in Percept Psychophys 70:465-476, 2008; Wilson et al. in J Exp Psychol Hum 36:1508-1514, 2010a), but the third was not supported when tested by de Rugy et al. (Exp Brain Res 184:269-273, 2008) using a visual coordination task that required simultaneous control of both the amplitude and relative phase of movement. The purposes of the current study were to replicate this task with additional measures and to modify the original model to apply it to the new task. To do this, we conducted two experiments. First, we tested the ability to produce 180° visual coordination at different frequencies to determine frequencies suitable for testing in the de Rugy et al. task. Second, we tested the de Rugy et al. task but included additional measures that yielded results different from those reported by de Rugy et al. These results were used to elaborate the original model. First, one of the phase-driven oscillators was replaced with a harmonic oscillator, so the resulting coupling was unidirectional. This change resulted in the model producing less stable 180° coordination behavior beyond 1.5 Hz consistent with the results obtained in Experiment 1. Next, amplitude control and phase correction elements were added to the model. With these changes, the model reproduced behaviors observed in Experiment 2. The central finding was that the stability of rhythmic movement coordination does depend on relative speed and, thus, all three of the hypotheses contained in the original Bingham model are supported.

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Year:  2011        PMID: 21952789     DOI: 10.1007/s00221-011-2874-x

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


  26 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.  Modeling rhythmic interlimb coordination: beyond the Haken-Kelso-Bunz model.

Authors:  P J Beek; C E Peper; A Daffertshofer
Journal:  Brain Cogn       Date:  2002-02       Impact factor: 2.310

3.  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

4.  One-to-one and polyrhythmic temporal coordination in bimanual circle tracing.

Authors:  John J Buchanan; Young U Ryu
Journal:  J Mot Behav       Date:  2006-05       Impact factor: 1.328

5.  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

6.  Perceptual learning immediately yields new stable motor coordination.

Authors:  Andrew D Wilson; Winona Snapp-Childs; Geoffrey P Bingham
Journal:  J Exp Psychol Hum Percept Perform       Date:  2010-12       Impact factor: 3.332

7.  Visual perception of the relative phasing of human limb movements.

Authors:  G P Bingham; R C Schmidt; F T Zaal
Journal:  Percept Psychophys       Date:  1999-02

8.  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

9.  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

10.  Learning a new bimanual coordination pattern is influenced by existing attractors.

Authors:  Nicole Wenderoth; Otmar Bock; Rainer Krohn
Journal:  Motor Control       Date:  2002-04       Impact factor: 1.422

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  17 in total

1.  The perception-action dynamics of action competency are altered by both physical and observational training.

Authors:  John J Buchanan; Jorge Ramos; Nina Robson
Journal:  Exp Brain Res       Date:  2015-01-25       Impact factor: 1.972

2.  Perceptuo-motor learning rate declines by half from 20s to 70/80s.

Authors:  Rachel O Coats; Winona Snapp-Childs; Andrew D Wilson; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2012-12-02       Impact factor: 1.972

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

Authors:  Rachel A Herth; Qin Zhu; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2021-08-07       Impact factor: 1.972

4.  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

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

Authors:  Winona Snapp-Childs; Andrew D Wilson; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2015-05-01       Impact factor: 1.972

6.  Informational constraints on spontaneous visuomotor entrainment.

Authors:  Manuel Varlet; Colleen Bucci; Michael J Richardson; R C Schmidt
Journal:  Hum Mov Sci       Date:  2015-04-09       Impact factor: 2.161

7.  Neurologically Motivated Coupling Functions in Models of Motor Coordination.

Authors:  Piotr Słowiński; Sohaib Al-Ramadhani; Krasimira Tsaneva-Atanasova
Journal:  SIAM J Appl Dyn Syst       Date:  2020-01-14       Impact factor: 2.316

8.  Overcoming the guidance effect in motor skill learning: feedback all the time can be beneficial.

Authors:  John J Buchanan; Chaoyi Wang
Journal:  Exp Brain Res       Date:  2012-04-13       Impact factor: 1.972

9.  Accuracy, stability, and corrective behavior in a visuomotor tracking task: a preliminary study.

Authors:  Young U Ryu; John J Buchanan
Journal:  PLoS One       Date:  2012-06-04       Impact factor: 3.240

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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