NeurIPS 2016poster63 citations
Brains on Beats
Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven
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.
BibTeX
@inproceedings{NIPS2016_b9d487a3,
author = {G\"{u}\c{c}l\"{u}, Umut and Thielen, Jordy and Hanke, Michael and van Gerven, Marcel},
booktitle = {Advances in Neural Information Processing Systems},
editor = {D. Lee and M. Sugiyama and U. Luxburg and I. Guyon and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Brains on Beats},
url = {https://proceedings.neurips.cc/paper_files/paper/2016/file/b9d487a30398d42ecff55c228ed5652b-Paper.pdf},
volume = {29},
year = {2016}
}