Literature DB >> 29028508

Jazz musicians reveal role of expectancy in human creativity.

Emily Przysinda1, Tima Zeng1, Kellyn Maves1, Cameron Arkin1, Psyche Loui2.   

Abstract

Creativity has been defined as the ability to produce work that is novel, high in quality, and appropriate to an audience. While the nature of the creative process is under debate, many believe that creativity relies on real-time combinations of known neural and cognitive processes. One useful model of creativity comes from musical improvisation, such as in jazz, in which musicians spontaneously create novel sound sequences. Here we use jazz musicians to test the hypothesis that individuals with training in musical improvisation, which entails creative generation of musical ideas, might process expectancy differently. We compare jazz improvisers, non-improvising musicians, and non-musicians in the domain-general task of divergent thinking, as well as the musical task of preference ratings for chord progressions that vary in expectation while EEGs were recorded. Behavioral results showed for the first time that jazz musicians preferred unexpected chord progressions. ERP results showed that unexpected stimuli elicited larger early and mid-latency ERP responses (ERAN and P3b), followed by smaller long-latency responses (Late Positivity Potential) in jazz musicians. The amplitudes of these ERP components were significantly correlated with behavioral measures of fluency and originality on the divergent thinking task. Together, results highlight the role of expectancy in creativity.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Auditory; Cognition; Electroencephalography; Expectation; Perception; Prediction

Mesh:

Year:  2017        PMID: 29028508     DOI: 10.1016/j.bandc.2017.09.008

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  6 in total

1.  The neural underpinnings of cross-cultural differences in creativity.

Authors:  Tal Ivancovsky; Oded Kleinmintz; Joo Lee; Jenny Kurman; Simone G Shamay-Tsoory
Journal:  Hum Brain Mapp       Date:  2018-07-04       Impact factor: 5.038

Review 2.  Music in the brain.

Authors:  Peter Vuust; Ole A Heggli; Karl J Friston; Morten L Kringelbach
Journal:  Nat Rev Neurosci       Date:  2022-03-29       Impact factor: 38.755

3.  Gray Matter Correlates of Creativity in Musical Improvisation.

Authors:  Cameron Arkin; Emily Przysinda; Charles W Pfeifer; Tima Zeng; Psyche Loui
Journal:  Front Hum Neurosci       Date:  2019-05-22       Impact factor: 3.169

4.  Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical Learning.

Authors:  Tatsuya Daikoku
Journal:  Front Comput Neurosci       Date:  2019-10-02       Impact factor: 2.380

5.  Statistical learning and the uncertainty of melody and bass line in music.

Authors:  Tatsuya Daikoku
Journal:  PLoS One       Date:  2019-12-19       Impact factor: 3.240

6.  Attention Modulates Electrophysiological Responses to Simultaneous Music and Language Syntax Processing.

Authors:  Daniel J Lee; Harim Jung; Psyche Loui
Journal:  Brain Sci       Date:  2019-11-01
  6 in total

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