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Journal Article

Machine learning reveals cryptic dialects that explain mate choice in a songbird

MPS-Authors
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Wang,  Daiping
Abteilung Kempenaers, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society;

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Forstmeier,  Wolfgang
Abteilung Kempenaers, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society;

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Farine,  Damien R.
Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society;

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Maldonado-Chaparro,  Adriana Alexandra
Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society;

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Martin,  Katrin
Abteilung Kempenaers, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society;

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Pei,  Yifan
Abteilung Kempenaers, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society;

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Alarcon-Nieto,  Gustavo
Research Group of Cognitive and Cultural Ecology, Max Planck Institute of Animal Behavior, Max Planck Society;
Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society;

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Klarevas-Irby,  James A.
Department of Migration, Max Planck Institute of Animal Behavior, Max Planck Society;

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Ma,  Shouwen
Abteilung Gahr, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society;

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Aplin,  Lucy M.
Research Group of Cognitive and Cultural Ecology, Max Planck Institute of Animal Behavior, Max Planck Society;

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Kempenaers,  Bart
Abteilung Kempenaers, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society;

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Citation

Wang, D., Forstmeier, W., Farine, D. R., Maldonado-Chaparro, A. A., Martin, K., Pei, Y., et al. (2022). Machine learning reveals cryptic dialects that explain mate choice in a songbird. Nature Communications, 13: 1630. doi:10.1038/s41467-022-28881-w.


Cite as: https://hdl.handle.net/21.11116/0000-000A-2790-7
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