Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-10T18:31:19.272Z Has data issue: false hasContentIssue false
  • English
  • Français

Affect and non-uniform characteristics of predictive processing in musical behaviour

Published online by Cambridge University Press:  10 May 2013

Rebecca S. Schaefer ,
Katie Overy  and
Peter Nelson
Rebecca S. Schaefer
Affiliation:
Institute for Music in Human and Social Development (IMHSD), Reid School of Music, University of Edinburgh, Edinburgh EH8 9DF, United Kingdom. [email protected]@[email protected]://www.ed.ac.uk/schools-departments/edinburgh-college-art/music/research/imhsd/imhsd-home
Katie Overy
Affiliation:
Institute for Music in Human and Social Development (IMHSD), Reid School of Music, University of Edinburgh, Edinburgh EH8 9DF, United Kingdom. [email protected]@[email protected]://www.ed.ac.uk/schools-departments/edinburgh-college-art/music/research/imhsd/imhsd-home
Peter Nelson
Affiliation:
Institute for Music in Human and Social Development (IMHSD), Reid School of Music, University of Edinburgh, Edinburgh EH8 9DF, United Kingdom. [email protected]@[email protected]://www.ed.ac.uk/schools-departments/edinburgh-college-art/music/research/imhsd/imhsd-home
Get access Rights & Permissions [Opens in a new window]

Abstract

The important roles of prediction and prior experience are well established in music research and fit well with Clark's concept of unified perception, cognition, and action arising from hierarchical, bidirectional predictive processing. However, in order to fully account for human musical intelligence, Clark needs to further consider the powerful and variable role of affect in relation to prediction error.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 226 - 227
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Berlyne, D. E. (1970) Novelty, complexity and hedonic value. Perception and Psychophysics 8:279–86.CrossRefGoogle Scholar
Grahn, J. A. & Brett, M. (2007) Rhythm and beat perception in motor areas of the brain. Journal of Cognitive Neuroscience 19(5):893–906.Google Scholar
Hennig, H., Fleischmann, R., Fredebohm, A., Hagmayer, Y., Nagler, J., Witt, A., Theis, F. J. & Geisel, T. (2011) The nature and perception of fluctuations in human musical rhythms. PLoS ONE 6(10):e26457.CrossRefGoogle ScholarPubMed
Huron, D. (2006) Sweet anticipation: Music and the psychology of expectation. MIT Press.Google Scholar
Large, E. W., Fink, P. & Kelso, J. A. S. (2002) Tracking simple and complex sequences. Psychological Research 66:3–17.Google Scholar
Loui, P., Wessel, D. & Hudson Kam, C. L. (2010) Humans rapidly learn grammatical structure in a new musical scale. Music Perception 27:377–88.Google Scholar
Meyer, L. B. (1956) Emotion and meaning in music. University of Chicago Press.Google Scholar
Molnar-Szakacs, I. & Overy, K. (2006) Music and mirror neurons: From motion to ‘e’ motion. Social Cognition and Affective Neuroscience 1:235–41.Google Scholar
Narmour, E. (1990) The analysis and cognition of basic melodic structures: The implication-realization model. University of Chicago Press.Google Scholar
Nelson, P. (2012) Towards a social theory of rhythm. In: Topics in musical universals/Actualités des Universaux Musicaux, ed. Leroy, J.-L.. Editions des Archives Contemporaines.Google Scholar
North, A. C. & Hargreaves, D. J. (1995) Subjective complexity, familiarity, and liking for popular music. Psychomusicology 14:77–93.Google Scholar
Overy, K. & Molnar-Szakacs, I. (2009) Being together in time: Musical experience and the mirror neuron system. Music Perception 26(5):489–504.CrossRefGoogle Scholar
Pecenka, N. & Keller, P. E. (2011) The role of temporal prediction abilities in interpersonal sensorimotor synchronization. Experimental Brain Research 211: 505–15.Google Scholar
Phillips-Silver, J. & Trainor, L. J. (2008) Vestibular influence on auditory metrical interpretation. Brain and Cognition 67:94–102.Google Scholar
Repp, B. (1999) Detecting deviations from metronomic timing in music: Effects of perceptual structure on the mental timekeeper. Perception and Psychophysics 61(3):529–48.Google Scholar
Sadakata, M., Desain, P. & Honing, H. (2006) The Bayesian way to relate rhythm perception and production. Music Perception 23:269–88.Google Scholar
Schaefer, R. S., Vlek, R. J. & Desain, P. (2011a) Decomposing rhythm processing: Electroencephalography of perceived and self-imposed rhythmic patterns. Psychological Research 75(2):95–106.Google Scholar
Schaefer, R. S., Vlek, R. J. & Desain, P. (2011b) Music perception and imagery in EEG: Alpha band effects of task and stimulus. International Journal for Psychophysiology 82(3):254–59.CrossRefGoogle ScholarPubMed
Temperley, D. (2004) Communicative pressure and the evolution of musical styles. Music Perception 21:313–37.Google Scholar
Temperley, D. (2007) Music and probability. The MIT Press.Google Scholar
Vuust, P. & Frith, C. D. (2008) Anticipation is the key to understanding music and the effects of music on emotion. Behavioral and Brain Sciences 31:599–600.Google Scholar