Context-specific Knowledge Is the “Key” to Salsa Music

References

• Barton, S., Getz, L., & Kubovy, M. (2017). Systematic variation in rhythm production as tempo changes. Music Perception, 34(3), 303–312.
   Web of Science ®Google Scholar
• Bégel, V., Benoit, C. E., Correa, A., Cutanda, D., Kotz, S. A., & Dalla Bella, S. (2017) “Lost in time” but still moving to the beat. Neuropsychologia, 94, 129–138.
   Web of Science ®Google Scholar
• Bigand, E., & Poulin-Charronnat, B. (2006). Are we “experienced listeners”? A review of the musical capacities that do not depend on formal music training. Cognition, 100(1), 100–130.
   PubMed Web of Science ®Google Scholar
• Bigand, E., Vieillard, S., Madurell, F., Marozeau, J., & Dacquet, A. (2005). Multidimensional scaling of emotional responses to music: The effect of musical expertise and of the duration of the excerpts. Cognition and Emotion, 27(8), 1113–1139.
   Google Scholar
• Bouwer, F. L., Burgoyne, J. A., Odijk, D., Honing, H., Grahn, J. A., & Kotz, S. (2018). What makes a rhythm complex? The influence of musical training and accent type on beat perception. article e0190322 PloS One, 13(1), e0190322.
   Web of Science ®Google Scholar
• Cameron, D. J., & Grahn, J. A. (2014) Enhanced timing abilities in percussionists generalize to rhythms without a musical beat. Frontiers in Human Neuroscience, 8(article), 1003.
   Google Scholar
• Cicchini, G. M., Arrighi, R., Cecchetti, L., Giusti, M., & Burr, D. C. (2012). Optimal encoding of interval timing in expert percussionists. Journal of Neuroscience, 32(3), 1056–1060.
   Web of Science ®Google Scholar
• Collier, G. L., & Wright, C. E. (1995). Temporal rescaling of simple and complex ratios in rhythmic tapping. Journal of Experimental Psychology: Human Perception and Performance, 21(3), 602–627.
   Web of Science ®Google Scholar
• Creel, S. C. (2011). Specific previous experience affects perception of harmony and meter. Journal of Experimental Psychology: Human Perception and Performance, 37(5), 1512–1526.
   Web of Science ®Google Scholar
• Dalla Bella, S., Farrugia, N., Benoit, C. E., Begel, V., Verga, L., Harding, E., & Kotz, S. A. (2017). BAASTA: Battery for the assessment of auditory sensorimotor and timing abilities. Behavior Research Methods, 49(3), 1128–1145.
   Web of Science ®Google Scholar
• Drake, C. (1993). Reproduction of musical rhythms by children, adult musicians, and adult nonmusicians. Perception & Psychophysics, 53(1), 25–33.
   PubMed Web of Science ®Google Scholar
• Drake, C., Penel, A., & Bigand, E. (2000). Tapping in time with mechanically and expressively performed music. Music Perception, 18(1), 1–23.
   Web of Science ®Google Scholar
• Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363–406.
   Web of Science ®Google Scholar
• Eriksen, A. D., Lorås, H., Pedersen, A. V., & Sigmundsson, H. (2018). Proximal–distal motor control in skilled drummers: The effect on tapping frequency of mechanically constraining joints of the arms in skilled drummers and unskilled controls. SAGE Open, 8(3), 2158244018791220.
   Web of Science ®Google Scholar
• Fitch, W. T., & Rosenfeld, A. J. (2007). Perception and production of syncopated rhythms. Music Perception, 25(1), 43–58.
   Web of Science ®Google Scholar
• Franěk, M., Mates, J., Radil, T., Beck, K., & Pöppel, E. (1991). Finger tapping in musicians and nonmusicians. International Journal of Psychophysiology, 11(3), 277–279.
   Web of Science ®Google Scholar
• Geiser, E., Sandmann, P., Jäncke, L., & Meyer, M. (2010). Refinement of metre perception–training increases hierarchical metre processing. European Journal of Neuroscience, 32(11), 1979–1985.
   Web of Science ®Google Scholar
• Getz, L. M., Barton, S., & Kubovy, M. (2014). The specificity of expertise: For whom is the clave pattern the “key” to salsa music? Acta Psychologica, 152, 56–66.
   Web of Science ®Google Scholar
• Hannon, E. E.,Soley, G., & Ullal,S. (2012). Familiarity overrides complexity in rhythm perception: A cross-cultural comparison of American and Turkish listeners. Journal of Experimental Psychology: Human Perception and Performance, 38(3), 543–548.
   PubMed Web of Science ®Google Scholar
• Hannon, E. E., & Trainor, L. J. (2007). Music acquisition: Effects of enculturation and formal training on development. Trends in Cognitive Sciences, 11(11), 466–472.
   PubMed Web of Science ®Google Scholar
• Hannon, & Soley, Ullal, (2012). Metrical categories in infancy and adulthood. Psychological Science, 16(1), 48–55.
   Google Scholar
• Herholz, S. C., & Zatorre, R. J. (2012). Musical training as a framework for brain plasticity: Behavior, function, and structure. Neuron, 76(3), 486–502.
   PubMed Web of Science ®Google Scholar
• Hinton, S. C., & Rauscher, F. H. (2003). Type of music training selectively influences perceptual processing. In R. Kopiez, A. Lehmann, I. Wolther, & C. Wolf (Eds.), Proceedings of the5th Triennial European Society for the Cognitive Sciences of Music Conference (pp. 89–92). Osnabrück: epOs-media.
   Google Scholar
• Honing, H. (2012). Without it no music: Beat induction as a fundamental musical trait. Annals of the New York Academy of Sciences, 1252(1), 85–91.
   PubMedGoogle Scholar
• Honing, H., Ladinig, O., Háden, G. P., & Winkler, I. (2009). Is beat induction innate or learned? Annals of the New York Academy of Sciences, 1169(1), 93–96.
   Google Scholar
• Iversen, J. R., Patel, A. D., & Ohgushi, K. (2008). Perception of rhythmic grouping depends on auditory experience. Journal of the Acoustical Society of America, 124(4), 2263–2271.
   PubMed Web of Science ®Google Scholar
• Iyer, V. (1998). Microstructures of feel, macrostructures of sound: Embodied cognition in West African and African American musics. Unpublished doctoral dissertation, University of California, Berkeley.
   Google Scholar
• Jones, M. R., & Boltz, M. (1989). Dynamic attending and responses to time. Psychological Review, 96(3), 459–491.
   PubMed Web of Science ®Google Scholar
• Jongsma, M. L., Desain, P., & Honing, H. (2004). Rhythmic context influences the auditory evoked potentials of musicians and nonmusicians. Biological Psychology, 66(2), 129–152.
   Web of Science ®Google Scholar
• Karpati, F. J., Giacosa, C., Foster, N. E., Penhune, V. B., & Hyde, K. L. (2016). Sensorimotor integration is enhanced in dancers and musicians. Experimental Brain Research, 234(3), 893–903.
   PubMed Web of Science ®Google Scholar
• Kincaid, A. E., Duncan, S., & Scott, S. A. (2002). Assessment of fine motor skill in musicians and nonmusicians: Differences in timing versus sequence accuracy in a bimanual fingering task. Perceptual and Motor Skills, 95(1), 245–257.
   Web of Science ®Google Scholar
• Kirschner, S., & Ilari, B. (2014). Joint drumming in Brazilian and German preschool children: Cultural differences in rhythmic entrainment, but no prosocial effects. Journal of Cross-Cultural Psychology, 45(1), 137–166.
   Web of Science ®Google Scholar
• Koelsch, S., Gunter, T., Friederici, A. D., & Schröger, E. (2000). Brain indices of music processing: “nonmusicians” are musical. Journal of Cognitive Neuroscience, 12(3), 520–541.
   PubMed Web of Science ®Google Scholar
• Krause, V., Pollok, B., & Schnitzler, A. (2010). Perception in action: The impact of sensory information on sensorimotor synchronization in musicians and non-musicians. Acta Psychologica, 133(1), 28–37.
   PubMed Web of Science ®Google Scholar
• Large, E. W., & Jones, M. R. (1999). The dynamics of attending: How people track time-varying events. Psychological Review, 106(1), 119–159.
   Web of Science ®Google Scholar
• Lehmann, A. C., & Ericsson, K. A. (1997). Research on expert performance and deliberate practice: Implications for the education of amateur musicians and music students. Psychomusicology, 16(1–2), 40–58.
   Google Scholar
• Lerdahl, F., & Jackendoff, R. (1983). A generative theory of tonal music. Cambridge, MA: MIT Press.
   Google Scholar
• London, J. (2012). Three things linguists need to know about rhythm and time in music. Empirical Musicology Review, 7(No. 1–2), 5–11.
   Google Scholar
• Longuet-Higgins, H. C., & Lee, C. S. (1984). The rhythmic interpretation of monophonic music. Music Perception, 1(4), 424–441.
   Web of Science ®Google Scholar
• Manning, F. C., Harris, J., & Schutz, M. (2017). Temporal prediction abilities are mediated by motor effector and rhythmic expertise. Experimental Brain Research, 235(3), 861–871.
   Web of Science ®Google Scholar
• Manning, F. C., & Schutz, M. (2016). Trained to keep a beat: Movement-related enhancements to timing perception in percussionists and non-percussionists. Psychological Research, 80(4), 532–542.
   Web of Science ®Google Scholar
• Martens, P. A. (2011). The ambiguous tactus: Tempo, subdivision benefit, and three listener strategies. Music Perception, 28(5), 433–448.
   Web of Science ®Google Scholar
• Matthews, T. E., Thibodeau, J. N., Gunther, B. P., & Penhune, V. B. (2016). The impact of instrument-specific musical training on rhythm perception and production. Frontiers in Psychology, 7(article), 69.
   Google Scholar
• Münte, T. F., Altenmüller, E., & Jäncke, L. (2002). The musician’s brain as a model of neuroplasticity. Nature Reviews Neuroscience, 3(6), 473–478.
   PubMed Web of Science ®Google Scholar
• Pantev, C., & Herholz, S. C. (2011). Plasticity of the human auditory cortex related to musical training. Neuroscience & Biobehavioral Reviews, 35(10), 2140–2154.
   PubMed Web of Science ®Google Scholar
• Povel, D. J. (1981). Internal representation of simple temporal patterns. Journal of Experimental Psychology: Human Perception and Performance, 7, 3–18.
   PubMed Web of Science ®Google Scholar
• Povel, D. J., & Essens, P. (1985). Perception of temporal patterns. Music Perception, 2(4), 411–440.
   Web of Science ®Google Scholar
• R Core Team. (2017). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/
   Google Scholar
• Rammsayer, T., & Altenmüller, E. (2006). Temporal information processing in musicians and nonmusicians. Music Perception, 24(1), 37–48.
   Web of Science ®Google Scholar
• Repp, B. H., London, J., & Keller, P. E. (2012). Distortions in reproduction of two-interval rhythms: When the “attractor ratio” is not exactly 1: 2. Music Perception, 30(2), 205–223.
   Web of Science ®Google Scholar
• Repp, B. H., London, J., & Keller, P. E. (2013). Systematic distortions in musicians’ reproduction of cyclic three-interval rhythms. Music Perception, 30(3), 291–305.
   Web of Science ®Google Scholar
• Schellenberg, E. G. (2016). Music training and nonmusical abilities. In S. Hallam, I. Cross, & M. Thaut (Eds.), The Oxford Handbook of Music Psychology (2nd), 415-432. Oxford, UK: Oxford University Press.
   Google Scholar
• Shmulevich, I., & Povel, D. J. (2000). Measures of temporal pattern complexity. Journal of New Music Research, 29(1), 61–69.
   Web of Science ®Google Scholar
• Sloboda, J. A., Davidson, J. W., Howe, M. J., & Moore, D. G. (1996). The role of practice in the development of performing musicians. British Journal of Psychology, 87(2), 287–309.
   Web of Science ®Google Scholar
• Stevens, C. J. (2012). Music perception and cognition: A review of recent cross-cultural research. Topics in Cognitive Science, 4(4), 653–667.
   PubMed Web of Science ®Google Scholar
• Stobart, H., & Cross, I. (2000). The andean anacrusis? Rhythmic structure and perception in Easter songs of Northern Potosí, Bolivia. British Journal of Ethnomusicology, 9(2), 63–92.
   Google Scholar
• Sweeney, P. (2010). Drum Atlas: Drum styles from around the world. Van Nuys, CA: Alfred Music Publishing Co.
   Google Scholar
• Toiviainen, P., & Eerola, T. (2003). Where is the beat? Comparison of finnish and South African listeners. In R. Kopiez, A. C. Lehmann, I. Wolther, & C. Wolf (Eds.), Proceedings of the 5th triennial ESCOM conference (pp. 501–504) Germany: Hanover University of Music and Drama.
   Google Scholar
• Tranchant, P., Lagrois, M. É., Bellemare, A., Schultz, B. G., & Peretz, I. (2021). Co-occurrence of deficits in beat perception and synchronization supports implication of motor system in beat perception. Music & Science, 4, 2059204321991713.
   Google Scholar
• Truly, D. B. (2009). The Afro-Cuban Abakuá: Rhythmic origins to modern applications. (PhD thesis). University of Miami (Open Access Dissertations. Paper 219. Accessed on 10 July 2018 from https://scholarlyrepository.miami.edu/oa_dissertations/219/).
   Google Scholar
• van der Weij, B., Pearce, M. T., & Honing, H. (2017). A probabilistic model of meter perception: Simulating enculturation. Frontiers in Psychology, 8(article), 824.
   Google Scholar
• Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S (4th ed.). New York: Springer.
   Google Scholar
• Vuust, P., & Witek, M. A. G. (2014). Rhythmic complexity and predictive coding: A novel approach to modeling rhythm and meter perception in music. Frontiers in Psychology, 5(article), 1111.
   Google Scholar
• Winkler, I., Háden, G. P., Ladinig, O., Sziller, I., & Honing, H. (2009). Newborn infants detect the beat in music. Proceedings of the National Academy of Sciences, 106(7), 2468–2471.
   PubMed Web of Science ®Google Scholar
• Yates, C. M., Justus, T., Atalay, N. B., Mert, N., & Trehub, S. E. (2017). Effects of musical training and culture on meter perception. Psychology of Music, 45(2), 231–245.
   Web of Science ®Google Scholar
• Yu, M., Getz, L., & Kubovy, M. (2015). Perceiving the initial note: Quantitative models of how listeners parse cyclical auditory patterns. Attention, Perception, & Psychophysics, 77(8), 2728–2739.
   Web of Science ®Google Scholar