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Brains on Beats
Umut Güçlü · Jordy Thielen · Michael Hanke · Marcel van Gerven · Marcel A. J. van Gerven

Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #23 #None

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.

Author Information

Umut Güçlü (Radboud University)
Jordy Thielen (Radboud University)
Michael Hanke (Otto-von-Guericke University Magdeburg)
Marcel van Gerven (Radboud University)
Marcel A. J. van Gerven (Radboud University)

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