35 lines
1.3 KiB
Markdown
35 lines
1.3 KiB
Markdown
---
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title: Brains on beats
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persons:
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- michael-hanke
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topics:
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- naturalistic-neuroimaging
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- predictive-data-analysis
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params:
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graphRootNodePID: xyzrins:publications/e3acf3af-3b8b-40ea-87dc-18d29446ced8
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sortkey: "2016-01-01Brains on beats"
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pid: xyzrins:publications/e3acf3af-3b8b-40ea-87dc-18d29446ced8
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doi: null
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date: '2016-01-01'
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title: Brains on beats
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description: We developed task-optimized deep neural networks (DNNs) that achieved
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state-of-the-art performance in different evaluation scenarios for automatic music
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tagging. These DNNs were subsequently used to probe the neural representations of
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music. Representational similarity analysis revealed the existence of a representational
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gradient across the superior temporal gyrus (STG). Anterior STG was shown to be
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more sensitive to low-level stimulus features encoded in shallow DNN layers whereas
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posterior STG was shown to be more sensitive to high-level stimulus features encoded
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in deep DNN layers.
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kind: bibo:AcademicArticle
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author:
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- pid: xyzrins:persons/michael-hanke
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given_name: Michael
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family_name: Hanke
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topic:
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- pid: xyzrins:topics/naturalistic-neuroimaging
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display_label: Naturalistic neuroimaging
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- pid: xyzrins:topics/predictive-data-analysis
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display_label: Predictive data analysis
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---
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