Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires
Increases in the scale and complexity of behavioral data pose an increasing challenge for data analysis. A common strategy involves replacing entire behaviors with small numbers of handpicked, domain-specific features, but this approach suffers from several crucial limitations. For example, handpick...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2021-05-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/67855 |