↓ Skip to main content

Atypical birdsong and artificial languages provide insights into how communication systems are shaped by learning, use, and transmission

Overview of attention for article published in Psychonomic Bulletin & Review, July 2016
Altmetric Badge

Mentioned by

twitter
12 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
64 Mendeley
Title
Atypical birdsong and artificial languages provide insights into how communication systems are shaped by learning, use, and transmission
Published in
Psychonomic Bulletin & Review, July 2016
DOI 10.3758/s13423-016-1107-5
Pubmed ID
Authors

Olga Fehér

Abstract

In this article, I argue that a comparative approach focusing on the cognitive capacities and behavioral mechanisms that underlie vocal learning in songbirds and humans can provide valuable insights into the evolutionary origins of language. The experimental approaches I discuss use abnormal song and atypical linguistic input to study the processes of individual learning, social interaction, and cultural transmission. Atypical input places increased learning and communicative pressure on learners, so exploring how they respond to this type of input provides a particularly clear picture of the biases and constraints at work during learning and use. Furthermore, simulating the cultural transmission of these unnatural communication systems in the laboratory informs us about how learning and social biases influence the structure of communication systems in the long run. Findings based on these methods suggest fundamental similarities in the basic social-cognitive mechanisms underlying vocal learning in birds and humans, and continuing research promises insights into the uniquely human mechanisms and into how human cognition and social behavior interact, and ultimately impact on the evolution of language.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 9 14%
Student > Master 8 13%
Student > Bachelor 6 9%
Professor 4 6%
Other 12 19%
Unknown 10 16%
Readers by discipline Count As %
Neuroscience 13 20%
Psychology 10 16%
Linguistics 8 13%
Agricultural and Biological Sciences 7 11%
Computer Science 4 6%
Other 9 14%
Unknown 13 20%