Literature DB >> 33621636

Defining the multidimensional phenotype: New opportunities to integrate the behavioral ecology and behavioral neuroscience of vocal learning.

Timothy F Wright1, Elizabeth P Derryberry2.   

Abstract

Vocal learning has evolved independently in several lineages. This complex cognitive trait is commonly treated as binary: species either possess or lack it. This view has been a useful starting place to examine the origins of vocal learning, but is also incomplete and potentially misleading, as specific components of the vocal learning program - such as the timing, extent and nature of what is learned - vary widely among species. In our review we revive an idea first proposed by Beecher and Brenowitz (2005) by describing six dimensions of vocal learning: (1) which vocalizations are learned, (2) how much is learned, (3) when it is learned, (4) who it is learned from, (5) what is the extent of the internal template, and (6) how is the template integrated with social learning and innovation. We then highlight key examples of functional and mechanistic work on each dimension, largely from avian taxa, and discuss how a multi-dimensional framework can accelerate our understanding of why vocal learning has evolved, and how brains became capable of this important behaviour.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Behavioral ecology; Behavioral neuroscience; Brain evolution; Call; Cognition; Comparative method; Integrative biology; Neurogenetics; Song; Trait evolution; Vocal production learning

Mesh:

Year:  2021        PMID: 33621636      PMCID: PMC8628558          DOI: 10.1016/j.neubiorev.2021.02.022

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   9.052


  67 in total

Review 1.  Brain space for a learned task: strong intraspecific evidence for neural correlates of singing behavior in songbirds.

Authors:  László Zsolt Garamszegi; Marcel Eens
Journal:  Brain Res Brain Res Rev       Date:  2004-03

Review 2.  The eloquent ape: genes, brains and the evolution of language.

Authors:  Simon E Fisher; Gary F Marcus
Journal:  Nat Rev Genet       Date:  2006-01       Impact factor: 53.242

3.  Functional aspects of song learning in songbirds.

Authors:  Michael D Beecher; Eliot A Brenowitz
Journal:  Trends Ecol Evol       Date:  2005-01-12       Impact factor: 17.712

4.  Territory tenure in song sparrows is related to song sharing with neighbours, but not to repertoire size.

Authors: 
Journal:  Anim Behav       Date:  2000-01       Impact factor: 2.844

5.  Female Social Feedback Reveals Non-imitative Mechanisms of Vocal Learning in Zebra Finches.

Authors:  Samantha Carouso-Peck; Michael H Goldstein
Journal:  Curr Biol       Date:  2019-01-31       Impact factor: 10.834

6.  Differential Song Deficits after Lentivirus-Mediated Knockdown of FoxP1, FoxP2, or FoxP4 in Area X of Juvenile Zebra Finches.

Authors:  Philipp Norton; Peggy Barschke; Constance Scharff; Ezequiel Mendoza
Journal:  J Neurosci       Date:  2019-10-22       Impact factor: 6.167

7.  A brain for all seasons: cyclical anatomical changes in song control nuclei of the canary brain.

Authors:  F Nottebohm
Journal:  Science       Date:  1981-12-18       Impact factor: 47.728

8.  Vocal dialects in parrots: patterns and processes of cultural evolution.

Authors:  Timothy F Wright; Christine R Dahlin
Journal:  Emu       Date:  2017-10-20       Impact factor: 1.831

9.  Core and region-enriched networks of behaviorally regulated genes and the singing genome.

Authors:  Osceola Whitney; Andreas R Pfenning; Jason T Howard; Charles A Blatti; Fang Liu; James M Ward; Rui Wang; Jean-Nicoles Audet; Manolis Kellis; Sayan Mukherjee; Saurabh Sinha; Alexander J Hartemink; Anne E West; Erich D Jarvis
Journal:  Science       Date:  2014-12-12       Impact factor: 47.728

10.  Song practice promotes acute vocal variability at a key stage of sensorimotor learning.

Authors:  Julie E Miller; Austin T Hilliard; Stephanie A White
Journal:  PLoS One       Date:  2010-01-06       Impact factor: 3.240

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