Brains on Beats
Umut Güçlü · Jordy Thielen · Michael Hanke · Marcel van Gerven · Marcel A. J. van Gerven
Keywords:
Deep Learning or Neural Networks
(Other) Cognitive Science
(Other) Neuroscience
(Cognitive/Neuroscience) Neural Coding
(Cognitive/Neuroscience) Perception
2016 Poster
Abstract
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.
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