Learning syntactically significant temporal patterns of chords: A masking field embedded in an ART 3 architecture

Robert O. Gjerdingen*

*Corresponding author for this work

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

In the traditional harmonic syntax of classical music, temporal patterns of chords vary in length, they often nest one within another, and they may lack overt markers indicating pattern boundaries. The self-organized learning of such patterns can be accomplished by a masking field embedded in an ART 3 architecture. A simulation of learning the chord patterns in the music of Handel uses a dynamic short-term memory store to transform sequential patterns of chords into network patterns of activation. A masking field develops distributed recognition codes for those patterns. Some suggestions are offered for implementing masking fields within the ART 3 architecture.

Original languageEnglish (US)
Pages (from-to)551-564
Number of pages14
JournalNeural Networks
Volume5
Issue number4
DOIs
StatePublished - Jan 1 1992

Keywords

  • Adaptive resonance theory
  • Harmony
  • Masking field
  • Music cognition
  • Music perception
  • Music theory
  • Neural network
  • Pattern recognition
  • Syntax

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence

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