By applying methods of computational music analysis and machine learning on brain imaging data collected during music listening, the researchers we able to predict with a significant accuracy whether the listeners were musicians or not. These results emphasize the striking impact of musical training on our neural responses to music to the extent of discriminating musicians’ brains from non-musicians’ brains despite other independent factors such as musical preference and familiarity. Full story.
University of Jyväskylä / January 22, 2018
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