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Predictive Processes and the Peculiar Case of Music

Koelsch, S; Vuust, P; Friston, K; (2019) Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences , 23 (1) pp. 63-77. 10.1016/j.tics.2018.10.006. Green open access

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Abstract

We suggest that music perception is an active act of listening, providing an irresistible epistemic offering. When listening to music we constantly generate plausible hypotheses about what could happen next, while actively attending to music resolves the ensuing uncertainty. Within the predictive coding framework, we present a novel formulation of precision filtering and attentional selection, which explains why some lower-level auditory, and even higher-level music-syntactic processes elicited by irregular events are relatively exempt from top-down predictive processes. We review findings providing unique evidence for the attentional selection of salient auditory features. This formulation suggests that ‘listening’ is a more active process than traditionally conceived in models of perception.

Type: Article
Title: Predictive Processes and the Peculiar Case of Music
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.tics.2018.10.006
Publisher version: https://doi.org/10.1016/j.tics.2018.10.006
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: predictive coding, auditory processing, music perception, MMN,ERAN, embodiment, active inference
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10067144
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