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Psychological Research
Gepubliceerd in:

01-03-2005 | Original Article

Staying offbeat: Sensorimotor syncopation with structured and unstructured auditory sequences

Auteurs: Peter E. Keller, Bruno H. Repp

Gepubliceerd in: Psychological Research | Uitgave 4/2005

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Abstract

Three experiments investigated whether adding metric (higher-order, periodic) structure to tone sequences stabilizes syncopated finger tapping. Participants tapped in antiphase with metronomic tone sequences in which accents—produced by sounding two tones simultaneously—occurred regularly every two, three, or four tones (metric), occurred unpredictably (irregular), occurred on every tone (heavy beat), or were absent (light beat). Tap timing variability, although commensurate with metric and light beat sequences, was lower with metric than with heavy beat and irregular sequences even when the instructions specified using metric grouping in all conditions. Higher-order periodic fluctuations (delays) in tap timing—found only in metric conditions—were associated with low overall tap timing variability, suggesting that a regularly applied, meter-based phase-resetting mechanism stabilizes syncopation.
vorige artikel The role of temporal and spatial factors in the covert orienting of visual attention tasks
Voetnoten
1
Six additional potential participants (five of whom had no musical training) indicated that they were interested in taking part in the experiment, but were unable to do so after experiencing difficulty with sensorimotor syncopation, even at a very slow rate (beat interval = 800 ms).
 
2
Due to a peculiarity of MAX, sequences were presented 2.4% faster than specified in the program, and tap timing was recorded 2.4% slower than it actually occurred. Actual timing values can be obtained by multiplying the reported values by .967. Apart from this constant scaling factor, timing in MAX is accurate to within 1 ms.
 
3
Error rates are reported here without the arcsine transformation. Note that this error rate is quite low considering that fast rates were set to be 9% faster than individual participants’ subjective limits, indicating that these limits were rather conservative. The magnitude of the asynchrony for erroneous taps was not analyzed due to the low error rates.
 
4
Note that this is a different measure to lag 1 autocorrelation in ITIs, which is conventionally examined in studies of self-paced (metronome absent) tapping, and is typically found to be negative (see Vorberg & Wing, 1996; Wing, 2002). Also note that drift arises during sensorimotor syncopation because the task involves making taps simultaneously with imagined events (IOI midpoints) rather than with physical events in the pacing sequence. However, drift during syncopation is typically not as large in magnitude as drift during self-paced tapping due to the presence of the pacing sequence.
 
5
De-trending the time series did not seem like the best option because inspection of the data revealed that the most prominent component of the drift was non-monotonic (i.e., gradual slowing down and quickening across runs of taps within trials) rather than monotonic (i.e., slowing down or quickening within a trial). Although it has been shown that monotonic (linear) trends can be removed without introducing statistical artifacts into the time series, it remains an “open question” whether this holds for non-monotonic trends (Vorberg & Wing, 1996, p. 199).
 
6
To address whether accentuation modulates tap timing indirectly by affecting tapping force, we computed correlations between asynchronies and MIDI velocities (measured on a scale—ranging from 0 to 127—that is, monotonically related to how hard the percussion pad is struck) in each trial from the metric conditions. Velocity and asynchrony are essentially uncorrelated (mean r = .08, n.s.), which suggests that accentuation affects timing directly.
 
7
The procedure for measuring syncopation thresholds involved finding the maximum rate at which the participant could produce a consecutive series of 24 syncopated taps that fell within the 26–74% region of each IOI defined by the pacing sequence tones (50% representing the midpoint). After starting at a slow rate selected by the participant, the rate was increased from trial to trial in 4% steps until one or more errors occurred in three consecutive trials. At this point the rate was decreased by 4% and then progressively increased by 1% until another three consecutive error trials occurred. The rate of the final error-free trial was defined as the threshold. The participant completed this procedure with metric (duple, triple, quadruple), irregular (irregular-2, irregular-3, irregular-4), light beat, and heavy beat sequences. The thresholds from these conditions (eight in total) were then averaged to yield the participant’s overall syncopation threshold.
 
Literatuur
Aschersleben, G. (2002). Temporal control of movements in sensorimotor synchronization. Brain and Cognition, 48, 66–79.PubMed
Beek, P. J., Rikkert, W. E. I., & van Wieringen, P. C. W. (1996). Limit cycle properties of rhythmic forearm movements. Journal of Experimental Psychology: Human Perception and Performance, 22, 1077–1093.CrossRef
Bharucha, J. J., & Pryor, J. H. (1986). Disrupting the isochrony underlying rhythm: An asymmetry in discrimination. Perception and Psychophysics, 40, 137–141.PubMed
Billon, M., Semjen, A., & Stelmach, G. E. (1996). The timing effects of accent production in periodic finger-tapping sequences. Journal of Motor Behavior, 28, 198–210.PubMed
Bolton, T. L. (1894). Rhythm. The American Journal of Psychology, 6, 145–238.
Carson, R. G. (1996). Neuromuscular-skeletal constraints upon the dynamics of perception-action coupling. Experimental Brain Research, 110, 99–110.
Deutsch, D. (1983). The generation of isochronous sequences in parallel. Perception and Psychophysics, 34, 331–337.PubMed
Drake, C., Jones, M. R., & Baruch, C. (2000). The development of rhythmic attending in auditory sequences: Attunement, referent period, focal attending. Cognition, 77, 251–288.CrossRefPubMed
Essens, P. J. (1995). Structuring temporal sequences: Comparison of models and factors of complexity. Perception and Psychophysics, 57, 519–532.PubMed
Fraisse, P., & Ehrlich, S. (1955). Note sur la possibilité de syncoper en function d’une cadence. L’Année Psychologique, 71, 359–369.
Fraisse, P., & Voillaume, C. (1971). Les repères du sujet dans la synchronisation et dans la pseudo-synchronisation [The reference points of the subject in synchronization and pseudo-synchronization]. L’Année Psychologique, 71, 359–369.
Franks, I. M., & Canic, M. J. (1991). The cognitive organization of simple rhythmic patterns. Journal of Human Movement Studies, 20, 149–162.
Haken, H., Kelso, J. A. S., & Bunz, H. (1985). A theoretical model of phase transitions in human hand movements. Biological Cybernetics, 51, 347–356.PubMed
Hary, D., & Moore, G. P. (1987). Synchronizing human movement with an external clock source. Biological Cybernetics, 56, 305–311.PubMed
Keller, P. (1999). Attending in complex musical interactions: The adaptive dual role of meter. Australian Journal of Psychology, 51, 166–175.
Keller, P. E., & Repp, B. H. (2004). When two limbs are weaker than one: Sensorimotor syncopation with alternating hands. Quarterly Journal of Experimental Psychology, 57A, 1085–1101.
Kelso, J. A. S. (1984). Phase transitions and critical behavior in human bimanual coordination. American Journal of Physiology: Regulatory, Integrative, and Comparative Physiology, 15, R1000–R1004.
Kelso, J. A. S. (1995). Dynamic patterns: The self-organization of brain and behavior. Cambridge, MA: MIT Press.
Kelso, J. A. S., Scholz, J. P., & Schöner, G. (1986). Nonequilibrium phase transitions in coordinated biological motion: Critical fluctuations. Physics Letters, 118, 279–284.CrossRef
Kelso, J. A. S., DelColle, J. D., & Schöner, G. (1990) Action-perception as a pattern formation process. In M. Jeannerod (Ed.), Attention and Performance XIII (pp. 139–165). Hillsdale, NJ: Erlbaum.
Large, E., & Jones, M. R. (1999). The dynamics of attending: How we track time varying events. Psychological Review, 106, 119–159.CrossRef
Lerdahl, F., & Jackendoff, R. (1983). A generative theory of tonal music. Cambridge, MA: MIT Press.
Mayville, J. M., Jantzen, K. J., Fuchs, A., Steinberg, F. L., & Kelso, J. A. S. (2002). Cortical and subcortical networks underlying syncopated and synchronized coordination revealed using fMRI. Human Brain Mapping, 17, 214–229.CrossRefPubMed
Mechsner, F., Kerzel, D., Knoblich, G., & Prinz, W. (2001). Perceptual basis of bimanual coordination. Nature, 414, 69–73.CrossRefPubMed
Nagasaki, H. (1987). Frequency dependence of rhythm in periodic tapping. Human Movement Science, 6, 247–256.CrossRef
Palmer, C., & Pfordresher, P. Q. (2003). Incremental planning in sequence production. Psychological Review, 110, 683–712.CrossRefPubMed
Parncutt, R. (1994). A perceptual model of pulse salience and metrical accent in musical rhythms. Music Perception, 11, 409–464.
Peper, C. E., Beek, P. J., & van Wieringen, P. C. W. (1995). Coupling strength in tapping a 2:3 polyrhythm. Human Movement Science, 14, 217–245.CrossRef
Peters, M. (1989). The relationship between variability of intertap intervals and interval duration. Psychological Research, 51, 38–42.CrossRef
Povel, D. J., & Essens, P. (1985). Perception of temporal patterns. Music Perception, 2, 411–440.
Pressing, J., Summers, J., & Magill, J. (1996). Cognitive multiplicity in polyrhythmic pattern performance. Journal of Experimental Psychology: Human Perception and Performance, 22, 1127–1148.CrossRef
Repp, B. H. (2001a). Phase correction, phase resetting, and phase shifts after subliminal timing perturbations in sensorimotor synchronization. Journal of Experimental Psychology: Human Perception and Performance, 27, 600–621.
Repp, B. H. (2001b). Processes underlying adaptation to tempo changes in sensorimotor synchronization. Human Movement Science, 20, 277–312.
Repp, B. H. (2003). Do auditory illusions affect auditory action control? A first exploration. Poster presented at The 12th International Conference on Perception and Action. Surfers Paradise, Gold Coast, Australia, 13–18 July, 2003.
Repp, B. H., & Keller, P. E. (2004). Adaptation to tempo changes in sensorimotor synchronization: Effects of intention, attention, and awareness. Quarterly Journal of Experimental Psychology, 57A, 499–521.
Schmidt, R. C., Carello, C., & Turvey, M. T. (1990). Phase transitions and critical fluctuations in the visual coordination of rhythmic movements between people. Journal of Experimental Psychology: Human Perception and Performance, 16, 227–247.CrossRefPubMed
Semjen, A. (2000). Tapping off the beat: A note on the role of preparation in stabilising anti-phase sensori-motor coordination. Cognitive Processing, 1, 89–98.
Semjen, A., & Ivry, R. B. (2001). The coupled oscillator model of between-hand coordination in alternate-hand tapping: A reappraisal. Journal of Experimental Psychology: Human Perception and Performance, 27, 251–265.CrossRefPubMed
Semjen, A., Schulze, H.-H., & Vorberg, D. (1992). Temporal control in the coordination between repetitive tapping and periodic external stimuli. In C. Auxiette, C. Drake, & C. Gérard (eds.), Proceedings of the Fourth Rhythm Workshop: Rhythm Perception and Production (pp. 73–78). Bourges, France: Imprimérie Municipale.
Sternad, D., Turvey, M. T., & Schmidt, R. C. (1992). Average phase difference theory and 1:1 phase entrainment in interlimb coordination. Biological Cybernetics, 67, 223–231.PubMed
Summers, J. J., Rosenbaum, D. A., Burns, B. D., & Ford, S. K. (1993). Production of polyrhythms. Journal of Experimental Psychology: Human Perception and Performance, 19, 416–428.CrossRefPubMed
Tekman, H. G. (2001). Accenting and detection of timing variations in tone sequences: Different kinds of accents have different effects. Perception and Psychophysics, 63, 514–523.PubMed
Thaut, M. H., & Kenyon, G. P. (2003). Rapid motor adaptations to subliminal frequency shifts during syncopated rhythmic sensorimotor synchronization. Human Movement Science, 22, 321–338.CrossRefPubMed
Thaut, M. H., Tian, B., & Azimi-Sadjadi, M. R. (1998). Rhythmic finger tapping to cosine-wave modulated metronome sequences: Evidence of subliminal entrainment. Human Movement Science, 17, 839–863.CrossRef
Treffner, P. J., & Turvey, M. T. (1993). Resonance constraints on rhythmic movement. Journal of Experimental Psychology: Human Perception and Performance, 19, 1221–1237.CrossRef
Volman, M. J. M., & Geuze, R. H. (2000). Temporal stability of rhythmic tapping “on” and “off the beat”: A developmental study. Psychological Research, 63, 62–69.PubMed
Vorberg, D., & Hambuch, R. (1978). On the temporal control of rhythmic performance. In J. Requin (Ed.), Attention and Performance VII (pp. 535–555). Hillsdale, NJ: Erlbaum.
Vorberg, D., & Hambuch, R. (1984). Timing of two-handed rhythmic performance. Annals of the New York Academy of Sciences, 423, 390–406.PubMed
Vorberg, D., & Wing, A. (1996). Modeling variability and dependence in timing. In H. Heuer & S. W. Keele (eds.), Handbook of perception and action, Vol. 2 (pp. 181–262). London: Academic.
Wimmers, R. H., Beek, P. J., & van Wieringen, P. C. W. (1992). Phase transitions in rhythmic tracking movements: A case of unilateral coupling. Human Movement Science, 11, 217–226.CrossRef
Wing, A. M. (2002). Voluntary timing and brain function: An information processing approach. Brain and Cognition, 48, 7–30.CrossRefPubMed
Yamanishi, J., Kawato, M., & Suzuki, R. (1979). Studies on human finger tapping neural networks by phase transition curves. Biological Cybernetics, 33, 199–208.PubMed
Metagegevens
Titel
Staying offbeat: Sensorimotor syncopation with structured and unstructured auditory sequences
Auteurs
Peter E. Keller
Bruno H. Repp
Publicatiedatum
01-03-2005
Uitgeverij
Springer-Verlag
Gepubliceerd in
Psychological Research / Uitgave 4/2005
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI
https://doi.org/10.1007/s00426-004-0182-9

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