Literature DB >> 10924198

The different roles of social learning in vocal communication.

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Abstract

While vocal learning has been studied extensively in birds and mammals, little effort has been made to define what exactly constitutes vocal learning and to classify the forms that it may take. We present such a theoretical framework for the study of social learning in vocal communication. We define different forms of social learning that affect communication and discuss the required methodology to show each one. We distinguish between contextual and production learning in animal communication. Contextual learning affects the behavioural context or serial position of a signal. It can affect both usage and comprehension. Production learning refers to instances where the signals themselves are modified in form as a result of experience with those of other individuals. Vocal learning is defined as production learning in the vocal domain. It can affect one or more of three systems: the respiratory, phonatory and filter systems. Each involves a different level of control over the sound production apparatus. We hypothesize that contextual learning and respiratory production learning preceded the evolution of phonatory and filter production learning. Each form of learning potentially increases the complexity of a communication system. We also found that unexpected genetic or environmental factors can have considerable effects on vocal behaviour in birds and mammals and are often more likely to cause changes or differences in vocalizations than investigators may assume. Finally, we discuss how production learning is used in innovation and invention, and present important future research questions. Copyright 2000 The Association for the Study of Animal Behaviour.

Entities:  

Year:  2000        PMID: 10924198     DOI: 10.1006/anbe.2000.1410

Source DB:  PubMed          Journal:  Anim Behav        ISSN: 0003-3472            Impact factor:   2.844


  105 in total

Review 1.  Identifying teaching in wild animals.

Authors:  Alex Thornton; Nichola J Raihani
Journal:  Learn Behav       Date:  2010-08       Impact factor: 1.986

2.  Social group signatures in hummingbird displays provide evidence of co-occurrence of vocal and visual learning.

Authors:  Marcelo Araya-Salas; Grace Smith-Vidaurre; Daniel J Mennill; Paulina L González-Gómez; James Cahill; Timothy F Wright
Journal:  Proc Biol Sci       Date:  2019-05-29       Impact factor: 5.349

3.  A case of spontaneous acquisition of a human sound by an orangutan.

Authors:  Serge A Wich; Karyl B Swartz; Madeleine E Hardus; Adriano R Lameira; Erin Stromberg; Robert W Shumaker
Journal:  Primates       Date:  2008-12-04       Impact factor: 2.163

4.  Bottlenose dolphins can use learned vocal labels to address each other.

Authors:  Stephanie L King; Vincent M Janik
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-22       Impact factor: 11.205

5.  Radiation efficiency for long-range vocal communication in mammals and birds.

Authors:  Ingo R Titze; Anil Palaparthi
Journal:  J Acoust Soc Am       Date:  2018-05       Impact factor: 1.840

6.  Character displacement of a learned behaviour and its implications for ecological speciation.

Authors:  Cody K Porter; Craig W Benkman
Journal:  Proc Biol Sci       Date:  2019-07-31       Impact factor: 5.349

Review 7.  Five fundamental constraints on theories of the origins of music.

Authors:  Bjorn Merker; Iain Morley; Willem Zuidema
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-03-19       Impact factor: 6.237

Review 8.  The neurobiology of primate vocal communication.

Authors:  Asif A Ghazanfar; Steven J Eliades
Journal:  Curr Opin Neurobiol       Date:  2014-07-23       Impact factor: 6.627

9.  The role of ultrasonic vocalizations in mouse communication.

Authors:  Christine V Portfors; David J Perkel
Journal:  Curr Opin Neurobiol       Date:  2014-07-23       Impact factor: 6.627

10.  Modification of spectral features by nonhuman primates.

Authors:  Daniel J Weiss; Cara F Hotchkin; Susan E Parks
Journal:  Behav Brain Sci       Date:  2014-12       Impact factor: 12.579

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