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Strong anticipation: Sensitivity to long-range correlations in synchronization behavior

Author

Listed:
  • Stephen, Damian G.
  • Stepp, Nigel
  • Dixon, James A.
  • Turvey, M.T.

Abstract

Strong anticipation has emerged as a new framework for studying prospective control. According to earlier theories of prediction, anticipatory behavior rests on temporally local predictions from internal models. Strong anticipation eschews internal models and draws on the embedding of an organism in its environment. In this formulation, behavior is sensitive to the non-local temporal structure of the environment. We present initial evidence for strong anticipation in a synchronization task with tapping as the behavior. Participants were instructed to synchronize, to the best of their abilities, with a (unpredictable) chaotic signal. Our data suggest a close relationship between the long-range correlations of the chaotic signal and the long-range correlations of the synchronization behavior.

Suggested Citation

  • Stephen, Damian G. & Stepp, Nigel & Dixon, James A. & Turvey, M.T., 2008. "Strong anticipation: Sensitivity to long-range correlations in synchronization behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5271-5278.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:21:p:5271-5278
    DOI: 10.1016/j.physa.2008.05.015
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    Citations

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    Cited by:

    1. Delignières, Didier & Marmelat, Vivien, 2014. "Strong anticipation and long-range cross-correlation: Application of detrended cross-correlation analysis to human behavioral data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 47-60.
    2. Stephen, Damian G. & Dixon, James A., 2011. "Strong anticipation: Multifractal cascade dynamics modulate scaling in synchronization behaviors," Chaos, Solitons & Fractals, Elsevier, vol. 44(1), pages 160-168.
    3. Manuel Varlet & Ludovic Marin & Johann Issartel & R C Schmidt & Benoît G Bardy, 2012. "Continuity of Visual and Auditory Rhythms Influences Sensorimotor Coordination," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-10, September.
    4. Kelty-Stephen, Damian G., 2017. "Threading a multifractal social psychology through within-organism coordination to within-group interactions: A tale of coordination in three acts," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 363-370.
    5. Okano, Masahiro & Kurebayashi, Wataru & Shinya, Masahiro & Kudo, Kazutoshi, 2019. "Hybrid dynamics in a paired rhythmic synchronization–continuation task," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 625-638.
    6. Stanis{l}aw Dro.zd.z & Rafa{l} Kowalski & Pawe{l} O'swic{e}cimka & Rafa{l} Rak & Robert Gc{e}barowski, 2018. "Dynamical variety of shapes in financial multifractality," Papers 1809.06728, arXiv.org.
    7. Ramirez-Aristizabal, Adolfo G. & Médé, Butovens & Kello, Christopher T., 2018. "Complexity matching in speech: Effects of speaking rate and naturalness," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 175-179.
    8. Grigolini, Paolo & Aquino, Gerardo & Bologna, Mauro & Luković, Mirko & West, Bruce J., 2009. "A theory of 1/f noise in human cognition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4192-4204.

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