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Research Article

Meter for what? Meter strength affects ordinal but not temporal learning

& | (Reviewing editor)
Article: 1537062 | Received 17 May 2018, Accepted 13 Oct 2018, Published online: 29 Oct 2018

References

  • Bates, D., Maechler, M., Bolker, B., Walker, S., Christensen, R. H. B., Singmann, H.  ... & Grothendieck, G. (2015). Package‘lme4ʹ. Retrieved from: https://cran.rproject.org/web/packages/lme4/index.html
  • Bhide, A., Power, A., & Goswami, U. (2013). A rhythmic musical intervention for poor readers: A comparison of efficacy with a letter-based intervention. Mind, Brain and Education, 7(2), 113–123. doi:10.1111/mbe.12016
  • Brandon, M., Terry, J., Stevens, C. J., & Tillmann, B. (2012). Incidental learning of temporal structures conforming to a metrical framework. Frontiers in Psychology, 3. doi:10.3389/fpsyg.2012.00294
  • Degé, F., Kubicek, C., & Schwarzer, G. (2015). Associations between musical abilities and precursors of reading in preschool aged children. Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.01220
  • Essens, P. J., & Povel, D.-J. (1985). Metrical and nonmetrical representations of temporal patterns. Perception & Psychophysics, 37(1), 1–7. doi:10.3758/BF03207132
  • Fitch, W. T. (2013). Rhythmic cognition in humans and animals: Distinguishing meter and pulse perception. Frontiers in Systems Neuroscience, 7, 68. doi:10.3389/fnsys.2013.00068
  • Fitch, W. T. (2016). Dance, music, meter and groove: A forgotten partnership. Frontiers in Human Neuroscience, 10. doi:10.3389/fnhum.2016.00064
  • Grube, M., & Griffiths, T. D. (2009). Metricality-enhanced temporal encoding and the subjective perception of rhythmic sequences. Cortex, 45(1), 72–79. doi:10.1016/j.cortex.2008.01.006
  • Jones, M. R. (1976). Time, our lost dimension: Toward a new theory of perception, attention, and memory. Psychological Review, 83(5), 323. doi:10.1037/0033-295X.83.5.323
  • Jones, M. R. (2009). Musical time. In S. Hallam, I. Cross, & M. Thaut (Eds.), The handbook of music psychology (pp. 81–92). New York, NY: Oxford University Press.
  • Jones, M. R., & Boltz, M. (1989). Dynamic attending and responses to time. Psychological Review, 96(3), 459–491. doi:10.1037/0033-295X.96.3.459
  • Karabanov, A., & Ullén, F. (2008). Implicit and explicit learning of temporal sequences studied with the process dissociation procedure. Journal of Neurophysiology, 100(2), 733–739. doi:10.1152/jn.01303.2007
  • Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Soft, 82, 13. doi:10.18637/jss.v082.i13
  • Large, E. W., & Jones, M. R. (1999). The dynamics of attending: How people track time-varying events. Psychological Review, 106(1), 119. doi:10.1037/0033-295X.106.1.119
  • Lerdahl, F., & Jackendoff, R. (1985). A generative theory of tonal music. Cambridge: MIT press.
  • Nakagawa, S., & Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4(2), 133–142. doi:10.1111/j.2041-210x.2012.00261.x
  • Needleman, S. B., & Wunsch, C. D. (1970). A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biologic, 48(3), 443–453.
  • Nozaradan, S., Peretz, I., & Mouraux, A. (2012). Selective neuronal entrainment to the beat and meter embedded in a musical rhythm. The Journal of Neuroscience, 32(49), 17572–17581. doi:10.1523/JNEUROSCI.3203-12.2012
  • Pasinski, A. C., McAuley, J. D., & Snyder, J. S. (2016). How modality specific is processing of auditory and visual rhythms? Psychophysiol, 53(2), 198–208. doi:10.1111/psyp.2016.53.issue-2
  • R core team. (2013). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
  • Repp, B. H., & Penel, A. (2002). Auditory dominance in temporal processing: New evidence from synchronization with simultaneous visual and auditory sequences. Journal Experiments Psychologist Human Percep Performance, 28(5), 1085–1099. doi:10.1037/0096-1523.28.5.1085
  • Schaefer, R. S. (2014). Auditory rhythmic cueing in movement rehabilitation: Findings and possible mechanisms. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 369(1658). doi:10.1098/rstb.2013.0402
  • Schultz, B. G., Stevens, C. J., Keller, P. E., & Tillmann, B. (2013). The implicit learning of metrical and nonmetrical temporal patterns. The Quarterly Journal of Experimental Psychology, 66(2), 360–380. doi:10.1080/17470218.2012.712146
  • Selchenkova, T., François, C., Schön, D., Corneyllie, A., Perrin, F., & Tillmann, B. (2014). Metrical presentation boosts implicit learning of artificial grammar. PLoS One, 9(11), e112233. doi:10.1371/journal.pone.0112233
  • Selya, A. S., Rose, J. S., Dierker, L. C., Hedeker, D., & Mermelstein, R. J. (2012). A practical guide to calculating Cohen’s f2, a measure of local effect size, from PROC MIXED. Frontiers in Psychology, 3. doi:10.3389/fpsyg.2012.00111
  • Silva, S., & Castro, S. L. (2016). Moving stimuli facilitate synchronization but not temporal perception. Frontiers in Psychology, 7, 1798. doi:10.3389/fpsyg.2016.01798
  • Silva, S., Petersson, K. M., & Castro, S. L. (2017). The effects of ordinal load on incidental temporal learning. The Quarterly Journal of Experimental Psychology, 70(4), 664–674. doi:10.1080/17470218.2016.1146909
  • Thaut, M. H., McIntosh, G. C., & Hoemberg, V. (2015). Neurobiological foundations of neurologic music therapy: Rhythmic entrainment and the motor system. Frontiers in Psychology, 5. doi:10.3389/fpsyg.2014.01185
  • Thaut, M. H., Trimarchi, P. D., & Parsons, L. M. (2014). Human brain basis of musical rhythm perception: Common and distinct neural substrates for meter, tempo, and pattern. Brain Sciences, 4(2), 428–452. doi:10.3390/brainsci4020428
  • Tierney, A., & Kraus, N. (2014). Neural entrainment to the rhythmic structure of music. Journal of Cognitive Neuroscience, 27(2), 400–408. doi:10.1162/jocn_a_00704
  • Vuust, P., Ostergaard, L., Pallesen, K. J., Bailey, C., & Roepstorff, A. (2009). Predictive coding of music – Brain responses to rhythmic incongruity. Cortex, 45(1), 80–92. doi:10.1016/j.cortex.2008.05.014