Abstract
Abstract
This chapter is about the role that expectation and prediction could play in how the mind conceptualizes creative acts in real time. Drawing from classic work in cognitive science, it develops a multilevel model of musical creativity as a complex system that can be described at computational, algorithmic, and implementation levels, with predictions over different musical timescales at the centre of the complex system. While musical improvisation is a real-time act of creativity, it draws upon a knowledge base of learning, memory, autobiographical experiences, and mental representations. It also examines the relationships between prediction, expectation, creativity, and improvisation, by reviewing evidence from diverse disciplines including human perception and performance, musical information retrieval, human electrophysiology, and structural and functional neuroimaging. As an illustrative case that ties together these diverse lines of evidence, musical improvisation is examined as a set of human activities that flexibly engages multiple capacities of the mind across different timescales.
Publisher
Oxford University PressOxford
Reference52 articles.
1. Gray matter correlates of creativity in musical improvisation.;Arkin,;Frontiers in human neuroscience,2019
2. The nervous system as physical machine: With special reference to the origin of adaptive behavior.;Mind,1947
3. Resting state functional connectivity underlying musical creativity.;Bashwiner,;NeuroImage,2020
4. Robust prediction of individual creative ability from brain functional connectivity.;Proceedings of the National Academy of Sciences of the United States of America,2018
5. Improvising at rest: Differentiating jazz and classical music training with resting state functional connectivity.;Belden,;NeuroImage,2020