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arXiv · 1606.02627

Brains on Beats

Umut Güçlü·Jordy Thielen·Michael Hanke·Marcel A. J. van Gerven
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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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Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel A. J. van Gerven. 2016-06-08. Brains on Beats. https://arxiv.org/abs/1606.02627

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