Brains on beats
[S.l.] : Neural Information Processing Systems Foundation
InAdvances in Neural Information Processing Systems, (2016)Lee, D.D.; Sugiyama, M.; Luxburg, U.V. (ed.), Advances in Neural Information Processing Systems 29 (NIPS 2016), pp. 1-9
30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 5 - 10, 2016, 5 december 2016
Article in monograph or in proceedings
Display more detailsDisplay less details
SW OZ DCC KI
Advances in Neural Information Processing Systems
Lee, D.D.; Sugiyama, M.; Luxburg, U.V. (ed.), Advances in Neural Information Processing Systems 29 (NIPS 2016)
SubjectCognitive artificial intelligence; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication
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.
Upload full text
Use your RU credentials (u/z-number and password) tolog in with SURFconextto upload a file for processing by the repository team.