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arxiv: 1606.02627 · v1 · pith:W5SJRHH7new · submitted 2016-06-08 · 🧬 q-bio.NC

Brains on Beats

classification 🧬 q-bio.NC
keywords deepdnnsencodedfeatureslayersmusicneuralrepresentational
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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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