Decoding Musical Training from Dynamic Processing of Musical Features in the Brain.

ABSTRACT: Pattern recognition on neural activations from naturalistic music listening has been successful at predicting neural responses of listeners from musical features, and vice versa. Inter-subject differences in the decoding accuracies have arisen partly from musical training that has widely recognized structural and functional effects on the brain. We propose and evaluate a decoding approach aimed at predicting the musicianship class of an individual listener from dynamic neural processing of musical features. Whole brain functional magnetic resonance imaging (fMRI) data was acquired from musicians and nonmusicians during listening of three musical pieces from different genres. Six musical features, representing low-level (timbre) and high-level (rhythm and tonality) aspects of music percepti

SUBMITTER: Saari P 

PROVIDER: S-EPMC5768727 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature