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

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.

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 Creators:
Wang, Daiping1, Author           
Forstmeier, Wolfgang1, Author           
Farine, Damien R.2, Author           
Maldonado-Chaparro, Adriana Alexandra2, Author           
Martin, Katrin1, Author           
Pei, Yifan1, Author           
Alarcon-Nieto, Gustavo2, 3, Author           
Klarevas-Irby, James A.4, Author           
Ma, Shouwen5, Author           
Aplin, Lucy M.3, Author           
Kempenaers, Bart1, Author           
Affiliations:
1Abteilung Kempenaers, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society, ou_2149689              
2Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054976              
3Research Group of Cognitive and Cultural Ecology, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054977              
4Department of Migration, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054975              
5Abteilung Gahr, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society, ou_2149688              

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 Dates: 2022-03-28
 Publication Status: Issued
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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 13 Sequence Number: 1630 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723