Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-28T12:15:44.612Z Has data issue: false hasContentIssue false
  • English
  • Français

How can we play together? Temporal inconsistencies in neural coding of music

Published online by Cambridge University Press:  28 November 2019

Björn Vickhoff Open the ORCID record for Björn Vickhoff [Opens in a new window]
Björn Vickhoff*
Affiliation:
Sahlgrenska Academy, University of Gothenburg, 413 90Gothenborg, Sweden. [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

If sensory organs encode environment, this code must be decoded to perception. The currently dominant theory of perception – predictive coding – assumes a “Bayesian decoder,” a probability function, which will present (to whom?) an optimal guess, given previous encodings of the environment – old codes testing new codes. Such a process would delay perception noticeably. This is inconsistent with the perception of music, which for several reasons must be direct.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 42 , 2019 , e242
Check for updates
Copyright
Copyright © Cambridge University Press 2019

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

Bendixen, A., SanMiguel, I., & Schröger, E. (2012) Early electrophysiological indicators for predictive processing in audition: A review. International Journal of Psychophysiology 83(2):120–31.CrossRefGoogle ScholarPubMed
Hogendoorn, H., & Burkitt, A. N. (2019) Predictive coding with neural transmission delays: a real-time temporal alignment hypothesis. eNeuro 6(2):ENEURO.0412-18.2019.CrossRefGoogle ScholarPubMed
Koelsch, S., Vuust, P. & Friston, K. (2018) Predictive processes and the peculiar case of music. Trends in Cognitive Sciences 23(1):63–77.CrossRefGoogle ScholarPubMed
Nijhawan, R. (1994) Motion extrapolation in catching. Nature 370:256–57.CrossRefGoogle ScholarPubMed
Rao, R. P. & Ballard, D. H. (1999) Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience 2:79–87.CrossRefGoogle ScholarPubMed
Snyder, J. S. & Large, E. W. (2005) Gamma-band activity reflects the metric structure of rhythmic tone sequences. Cognitive Brain Research 24(1):117–26.CrossRefGoogle ScholarPubMed
Tal, I., Large, E. W., Rabinovitch, E., Wei, Y., Schroeder, C. E., Poeppel, D. & Golumbic, E. Z. (2017) Neural entrainment to the beat: The “missing-pulse” phenomenon. Journal of Neuroscience 37(26):6331–41.CrossRefGoogle ScholarPubMed
Zatorre, R. J., Halpern, A. R., Perry, D. W., Meyer, E. & Evans, A. C. (1996) Hearing in the mind's ear: A PET investigation of musical imagery and perception. Journal of Cognitive Neuroscience 8(1):29–46.CrossRefGoogle ScholarPubMed
Wacogne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L. & Dehaene, S. (2011) Evidence for a hierarchy of predictions and prediction errors in human cortex. Proceedings of the National Academy of Sciences 108(51):20754–59.CrossRefGoogle Scholar