Much of music neuroscience research has focused on finding functionally specific brain re-gions, often employing highly controlled stimuli. Recent results in computational neuroscience suggest that auditory information is represented in distributed, overlapping patterns in the brain [4] and that natural sounds may be optimal for studying the functional architecture of higher order auditory areas [3]. With this in mind, the goal of the present work was to decode musical informa-tion from brain activity collected during naturalistic music listening.
