ArticleFrontiers in computational neuroscience2018
Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in Improvisation.
Article in Frontiers in computational neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Temporal dynamics of uncertainty and prediction error in musical improvisation across different periods.Scientific reports · 2024Article
- Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple cultures.Scientific reports · 2023Article
- Exploring cognitive individuality and the underlying creativity in statistical learning and phase entrainment.EXCLI journal · 2023Review
- Statistical Properties of Musical Creativity: Roles of Hierarchy and Uncertainty in Statistical Learning.Frontiers in neuroscience · 2021Review
- Article
- Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study.Frontiers in human neuroscience · 2019Article
- Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's Lifetime.Frontiers in computational neuroscience · 2019Article
- Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical Learning.Frontiers in computational neuroscience · 2019Article
- Entropy, Uncertainty, and the Depth of Implicit Knowledge on Musical Creativity: Computational Study of Improvisation in Melody and Rhythm.Frontiers in computational neuroscience · 2018Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
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Abstract
It has been suggested that musical creativity is mainly formed by implicit knowledge. However, the types of spectro-temporal features and depth of the implicit knowledge forming individualities of improvisation are unknown. This study, using various-order Markov models on implicit statistical learning, investigated spectro-temporal statistics among musicians. The results suggested that lower-order models on implicit knowledge represented general characteristics shared among musicians, whereas higher-order models detected specific characteristics unique to each musician. Second, individuality may essentially be formed by pitch but not rhythm, whereas the rhythms may allow the individuality of pitches to strengthen. Third, time-course variation of musical creativity formed by implicit knowledge and uncertainty (i.e., entropy) may occur in a musician's lifetime. Individuality of improvisational creativity may be formed by deeper but not superficial implicit knowledge of pitches, and that the rhythms may allow the individuality of pitches to strengthen. Individualities of the creativity may shift over a musician's lifetime via experience and training.
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