Brains on beats

Contains fulltext : 166770.pdf (Publisher’s version ) (Open Access) We developed task-optimized deep neural networks (DNNs) that achieved state-of-the-art performance in different evaluation scenarios for automatic music tagging. These DNNs were subsequently used to probe the neural representations of music. Representational similarity analysis revealed the existence of a representational gradient across the superior temporal gyrus (STG). Anterior STG was shown to be more sensitive to low-level stimulus features encoded in shallow DNN layers whereas posterior STG was shown to be more sensitive to high-level stimulus features encoded in deep DNN layers. 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 5 - 10, 2016, 05 december 2016