From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity
Human creativity is intricately linked to acquired knowledge. However, to date learning a new musical style and subsequent musical creativity have largely been studied in isolation. We introduced a novel experimental paradigm combining behavioural, electrophysiological, and computational methods, to...
Main Authors: | Ioanna Zioga, Peter M.C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline Di Bernardi Luft |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-02-01
|
Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811919309024 |
Similar Items
-
Decomposing neural responses to melodic surprise in musicians and non-musicians: Evidence for a hierarchy of predictions in the auditory system
by: D.R. Quiroga-Martinez, et al.
Published: (2020-07-01) -
Algorithmically-generated Corpora that use Serial Compositional Principles Can Contribute to the Modeling of Sequential Pitch Structure in Non-tonal Music
by: Roger Thornton Dean, et al.
Published: (2016-07-01) -
Pitches that Wire Together Fire Together: Scale Degree Associations Across Time Predict Melodic Expectations
by: Morgan, E., et al.
Published: (2021) -
Anodal transcranial direct current stimulation (tDCS) boosts dominant brain oscillations
by: Caroline Di Bernardi Luft, et al.
Published: (2018-05-01) -
Classifying creativity: Applying machine learning techniques to divergent thinking EEG data
by: Carl E. Stevens, Jr., PhD, et al.
Published: (2020-10-01)