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Bi-temporal processing in music notation reading: a theory linking prediction, memory, and automaticity.

Karen L Heath1

  • 1Melbourne Conservatorium of Music, The University of Melbourne, Melbourne, VIC, Australia.

Frontiers in Cognition
|June 24, 2026
PubMed
Summary
This summary is machine-generated.

Music reading involves real-time visual processing and future anticipation, suggesting a bi-temporal cognitive architecture. This model integrates Hebbian learning and automaticity for seamless music performance.

Keywords:
cognitiondual processingmemorymusic notationmusic readingperformanceprospective planning

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Area of Science:

  • Cognitive Neuroscience
  • Music Cognition
  • Neuroscience

Background:

  • Music notation reading demands simultaneous perception and anticipation.
  • This dual engagement suggests a bi-temporal cognitive architecture in musicians.
  • Existing research often isolates single notation parameters, limiting ecological validity.

Purpose of the Study:

  • To propose a bi-temporal cognitive model for music notation processing.
  • To integrate Hebbian learning and automaticity as core mechanisms.
  • To evaluate neuroimaging evidence for music-reading neural correlates.

Main Methods:

  • Systematic review of neuroimaging studies on music-reading tasks.
  • Synthesis of research on cognitive prediction, sensorimotor coupling, and perceptual-motor learning.
  • Theoretical model development integrating learning and automaticity.

Main Results:

  • Music reading engages distributed cortical and subcortical networks, including text-reading and auditory-motor integration regions.
  • Musicians utilize a dual-pathway system for immediate perception and forward prediction.
  • Hebbian learning and automaticity shape this system through practice.

Conclusions:

  • A bi-temporal cognitive model explains the dynamic interplay of learning, prediction, and motor execution in music performance.
  • The model offers implications for cognitive theory and music pedagogy.
  • Further empirical research is recommended to validate the bi-temporal framework.