Temporal dynamics of uncertainty and prediction error in musical improvisation across different periods.

ABSTRACT: Human improvisational acts contain an innate individuality, derived from one's experiences based on epochal and cultural backgrounds. Musical improvisation, much like spontaneous speech, reveals intricate facets of the improviser's state of mind and emotional character. However, the specific musical components that reveal such individuality remain largely unexplored. Within the framework of human statistical learning and predictive processing, this study examined the temporal dynamics of uncertainty and surprise (prediction error) in a piece of musical improvisation. This cognitive process reconciles the raw auditory cues, such as melody and rhythm, with the musical predictive models shaped by its prior experiences. This study employed the Hierarchical Bayesian Statistical Learning (HBSL)

SUBMITTER: Daikoku T 

PROVIDER: S-EPMC11437158 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature