Skip to main content
Log in

Stability of rhythmic visuo-motor tracking does not depend on relative velocity

  • Research Note
  • Published:
Experimental Brain Research Aims and scope Submit manuscript

Abstract

It is well established that the in-phase pattern of bimanual coordination (i.e. a relative phase of 0°) is more stable than the antiphase pattern (i.e., a relative phase of 180°), and that a spontaneous transition from antiphase to in-phase typically occurs as the movement frequency is gradually increased. On the basis of results from relative phase perception experiments, Bingham (Proceedings of the 23rd annual conference of the cognitive science society. Laurence Erlbaum Associates, Mahwah, pp 75–79, 2001; Ecol Psychol 16:45–53, 2004; Advances in psychology 135: time-to-contact. Elsevier, Amsterdam, pp 421–442, 2004) proposed a dynamical model that consists of two phase driven oscillators coupled via the perceived relative phase, the resolution of which is determined by relative velocity. In the present study, we specifically test behavioral predictions from this last assumption during a unimanual visuo-motor tracking task. Different conditions of amplitudes and frequencies were designed to manipulate selectively relative phase and relative velocity. While the known effect of phase and frequency were observed, relative phase variability was not affected by the different conditions of relative velocity. As such, Bingham’s model assumption that instability in relative phase coordination is brought about by relative velocity that affects the resolution of the perceived relative phase has been invalidated for the case of rhythmic unimanual visuo-motor tracking. Although this does not rule out the view that relative phase production is constrained by relative phase perception, the mechanism that would be responsible for this phenomenon still has to be established.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Bingham GP (2001) A perceptually driven dynamical model of rhythmic limb movement and bimanual coordination. In: Proceedings of the 23rd annual conference of the cognitive science society. Laurence Erlbaum Associates, Mahwah, pp 75–79

  • Bingham GP (2004a) A perceptually driven dynamical model of bimanual rhythmic movement (and phase perception). Ecol Psychol 16:45–53

    Article  Google Scholar 

  • Bingham GP (2004b) Another timing variable composed of state variables: phase perception and phase driven oscillators. In: Hecht H, Savelsbergh GJP (eds) Advances in psychology 135: time-to-contact. Elsevier, Amsterdam, pp 421–442

    Chapter  Google Scholar 

  • Bingham GP, Schmidt RC, Zaal FT (1999) Visual perception of the relative phasing of human limb movements. Percept Psychophys 61:246–258

    PubMed  CAS  Google Scholar 

  • Bingham GP, Zaal FT, Shull JA, Collins DR (2001) The effect of frequency on the visual perception of relative phase and phase variability of two oscillating objects. Exp Brain Res 136:543–552

    Article  PubMed  CAS  Google Scholar 

  • Buekers MJ, Bogaerts HP, Swinnen SP, Helsen WF (2000) The synchronization of human arm movements to external events. Neurosci Lett 290:181–184

    Article  PubMed  CAS  Google Scholar 

  • Carson RG (2005) Neural pathways mediating bilateral interactions between the upper limbs. Brain Res Brain Res Rev 49:641–662

    Article  PubMed  CAS  Google Scholar 

  • Carson RG, Kelso JA (2004) Governing coordination: behavioural principles and neural correlates. Exp Brain Res 154:267–274

    Article  PubMed  CAS  Google Scholar 

  • de Bruyn B, Orban GA (1988) Human velocity and direction discrimination measured with random dot patterns. Vision Res 28:1323–1335

    Article  PubMed  Google Scholar 

  • de Rugy A, Salesse R, Oullier O, Temprado JJ (2006) A neuro-mechanical model for interpersonal coordination. Biol Cybern 94:427–443

    Article  PubMed  Google Scholar 

  • Fisher NI (1993) Statistical analysis of circular data. Cambridge University Press, Cambridge

    Google Scholar 

  • Kelso J (1981) On the oscillatory basis of movement. Bul Psychon Soc 18:63

    Google Scholar 

  • Kelso JAS (1984) Phase transitions and critical behavior in human bimanual coordination. Am J Physiol Regul Integr Comp Physiol 15:R1000–R1004

    Google Scholar 

  • Pierce CA, Block RA, Aguinis H (2004) Cautionary note of reporting eta-squared values from multifactor ANOVA designs. Educ Psychol Meas 64:916–924

    Article  Google Scholar 

  • Russell DM, Sternad D (2001) Sinusoidal visuomotor tracking: intermittent servo-control or coupled oscillations? J Mot Behav 33:329–349

    Article  PubMed  CAS  Google Scholar 

  • Schmidt RC, Bienvenu M, Fitzpatrick PA, Amazeen PG (1998) A comparison of intra- and interpersonal interlimb coordination: coordination breakdowns and coupling strength. J Exp Psychol Hum Percept Perform 24:884–900

    Article  PubMed  CAS  Google Scholar 

  • Schmidt RC, Carello C, Turvey MT (1990) Phase transitions and critical fluctuations in the visual coordination of rhythmic movements between people. J Exp Psychol Hum Percept Perform 16:227–247

    Article  PubMed  CAS  Google Scholar 

  • Snowden RJ, Braddick OJ (1991) The temporal integration and resolution of velocity signals. Vision Res 31(5):907–914

    Article  PubMed  CAS  Google Scholar 

  • Stins JF, Michaels CF (2000) Stimulus-response compatibility for absolute and relative spatial correspondence in reaching and in button pressing. Q J Exp Psychol A 53:569–589

    Article  PubMed  CAS  Google Scholar 

  • Swinnen SP (2002) Intermanual coordination: from behavioural principles to neural-network interactions. Nat Rev Neurosci 3:348–359

    Article  PubMed  CAS  Google Scholar 

  • Temprado JJ, Laurent M (2004) Attentional load associated with performing and stabilizing a between-persons coordination of rhythmic limb movements. Acta Psychol (Amst) 115:1–16

    Article  Google Scholar 

  • Wimmers RH, Beek PJ, van Wieringen PCW (1992) Phase transitions in rhythmic tracking movements: A case of unilateral coupling. Hum Mov Sci 11:217–220

    Article  Google Scholar 

  • Zaal FT, Bingham GP, Schmidt RC (2000) Visual perception of mean relative phase and phase variability. J Exp Psychol Hum Percept Perform 26:1209–1220

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This work was founded by The Australian Research Council, a University of Queensland Travel Award, and support from the UMR Mouvement et Perception, CNRS-Université de la Méditerranée, Marseille, France.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aymar de Rugy.

Rights and permissions

Reprints and permissions

About this article

Cite this article

de Rugy, A., Oullier, O. & Temprado, JJ. Stability of rhythmic visuo-motor tracking does not depend on relative velocity. Exp Brain Res 184, 269–273 (2008). https://doi.org/10.1007/s00221-007-1180-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00221-007-1180-0

Keywords

Navigation