Musical instrument familiarity affects statistical learning of tone sequences.

Most listeners have an implicit understanding of the rules that govern how music unfolds over time. This knowledge is acquired in part through statistical learning, a robust learning mechanism that allows individuals to extract regularities from the environment. However, it is presently unclear how...

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Publicado en:Cognition Vol. 218
Autores principales: Van Hedger, Stephen C., Johnsrude, Ingrid S., Batterink, Laura J.
Formato: research Journal Article
Publicado: Elsevier B.V. Jan2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2022
      vid: 218
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      pub: Elsevier B.V.
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        10.1016/j.cognition.2021.104949
        NLM34768123
        153823858
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        atl: Musical instrument familiarity affects statistical learning of tone sequences.
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        au:
          Van Hedger, Stephen C.
          Johnsrude, Ingrid S.
          Batterink, Laura J.
        affil: Department of Psychology, University of Western Ontario, London, ON, Canada
      sug:
        subj:
          Music
          Human
          Auditory Perception
          Pitch Perception
          Knowledge
          Learning
          Acoustic Stimulation
          Comparative Studies
          Multicenter Studies
          Evaluation Research
          Validation Studies
      ab: Most listeners have an implicit understanding of the rules that govern how music unfolds over time. This knowledge is acquired in part through statistical learning, a robust learning mechanism that allows individuals to extract regularities from the environment. However, it is presently unclear how this prior musical knowledge might facilitate or interfere with the learning of novel tone sequences that do not conform to familiar musical rules. In the present experiment, participants listened to novel, statistically structured tone sequences composed of pitch intervals not typically found in Western music. Between participants, the tone sequences either had the timbre of artificial, computerized instruments or familiar instruments (piano or violin). Knowledge of the statistical regularities was measured as by a two-alternative forced choice recognition task, requiring discrimination between novel sequences that followed versus violated the statistical structure, assessed at three time points (immediately post-training, as well as one day and one week post-training). Compared to artificial instruments, training on familiar instruments resulted in reduced accuracy. Moreover, sequences from familiar instruments - but not artificial instruments - were more likely to be judged as grammatical when they contained intervals that approximated those commonly used in Western music, even though this cue was non-informative. Overall, these results demonstrate that instrument familiarity can interfere with the learning of novel statistical regularities, presumably through biasing memory representations to be aligned with Western musical structures. These results demonstrate that real-world experience influences statistical learning in a non-linguistic domain, supporting the view that statistical learning involves the continuous updating of existing representations, rather than the establishment of entirely novel ones.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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