| xyzrins:publications/e3acf3af-3b8b-40ea-87dc-18d29446ced8 |
2016-01-01Brains on beats |
xyzrins:publications/e3acf3af-3b8b-40ea-87dc-18d29446ced8 |
null |
2016-01-01 |
Brains on beats |
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. |
bibo:AcademicArticle |
| pid |
given_name |
family_name |
| xyzrins:persons/michael-hanke |
Michael |
Hanke |
|
|
| pid |
display_label |
| xyzrins:topics/naturalistic-neuroimaging |
Naturalistic neuroimaging |
|
| pid |
display_label |
| xyzrins:topics/predictive-data-analysis |
Predictive data analysis |
|
|
