Chimpanzee pant‐hoots encode individual information more reliably than group differences-Reference-Cited by-同舟云学术

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Chimpanzee pant‐hoots encode individual information more reliably than group differences

Published:2022-09-12 Issue:11 Volume:84 Page:
ISSN:0275-2565
Container-title:American Journal of Primatology
language:en
Short-container-title:American J Primatol

Author:

Desai Nisarg P.¹^ORCID,Fedurek Pawel²,Slocombe Katie E.³,Wilson Michael L.¹⁴⁵^ORCID

Affiliation:

1. Department of Anthropology University of Minnesota Minneapolis Minnesota USA

2. Division of Psychology, Faculty of Natural Sciences University of Stirling Stirling UK

3. Department of Psychology University of York York UK

4. Department of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota USA

5. Institute on the Environment University of Minnesota St. Paul Minnesota USA

Publisher

Wiley

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajp.23430

Reference102 articles.

1. Phrase structure of wild chimpanzee pant hoots: Patterns of production and interpopulation variability

2. They Wallop Like They Gallop: Audiovisual Analysis Reveals the Influence of Gait on Buttress Drumming by Wild Chimpanzees (Pan troglodytes)

3. Fission‐Fusion Dynamics

4. The effect of new recruits on the flock specific call of budgerigars (Melopsittacus undulatus)

5. Contextual encoding in titi monkey alarm call sequences

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1. Overcoming bias in the comparison of human language and animal communication;Proceedings of the National Academy of Sciences;2023-11-13

2. What we know and don't know about great ape cultural communication in the wild;American Journal of Primatology;2023-10-12

3. Myth of objectivity and the origin of symbols;Frontiers in Sociology;2023-10-09

4. Diverse Sound Use and Sensitivity in Auditory Communication by Chimpanzees (Pan troglodytes);Acoustic Communication in Animals;2023

5. Individual Recognition in Wild Chimpanzees and Beyond: Supervised Representation Learning;2023

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