AUTHOR=Daikoku Tatsuya TITLE=Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in Improvisation JOURNAL=Frontiers in Computational Neuroscience VOLUME=12 YEAR=2018 URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2018.00089 DOI=10.3389/fncom.2018.00089 ISSN=1662-5188 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.