Evidence map›Paper›PMID 31600518›Full record

ReviewNeuron2019

A Modular Approach to Vocal Learning: Disentangling the Diversity of a Complex Behavioral Trait.

Morgan Wirthlin, Edward F Chang, Mirjam Knörnschild, Leah A Krubitzer, Claudio V Mello, Cory T Miller, Andreas R Pfenning, Sonja C Vernes, Ofer Tchernichovski, Michael M Yartsev

Abstract readReview
In one paragraph

Review in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Rhythm Across Species: Situating Human Speech in a Comparative Framework.Annals of the New York Academy of Sciences · 2026
    Article
  2. Assessing the Role of Vocal Plasticity in Sociospatial Coordination.Animals : an open access journal from MDPI · 2026
    Review
  3. Article
  4. Article
  5. AnFrontiers in genetics · 2025
    Article
  6. Article
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  8. Do rats (Royal Society open science · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Bats possess the anatomical substrate for a laryngeal motor cortex.bioRxiv : the preprint server for biology · 2023
    Article
  13. Article
  14. Article
  15. Prenatal auditory learning in avian vocal learners and non-learners.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  16. Variation in vocal production learning across songbirds.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  17. Evolving the capacity for socially guided vocal learning in songbirds: a preliminary study.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  18. Linking the genomic signatures of human beat synchronization and learned song in birds.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  19. Vocal learning as a preadaptation for the evolution of human beat perception and synchronization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  20. Vocal learning and flexible rhythm pattern perception are linked: Evidence from songbirds.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Morgan WirthlinComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA. Electronic address: mwirthlin@cmu.edu.
Edward F ChangDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
Mirjam KnörnschildMuseum for Natural History Berlin, Invalidenstr. 43, 10115 Berlin, Germany.
Leah A KrubitzerCenter for Neuroscience, University of California, Davis, CA, USA; Department of Psychology, University of California, Davis, CA, USA.
Claudio V MelloDepartment of Behavioral Neuroscience, OHSU, Portland, OR, USA.
Cory T MillerCortical Systems and Behavior Laboratory, Neurosciences Graduate Program, University of California San Diego, La Jolla, CA, USA.
Andreas R PfenningComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.
Sonja C VernesNeurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands.
Ofer TchernichovskiDepartment of Psychology, Hunter College, The City University of New York, New York, NY, USA.
Michael M YartsevHelen Wills Neuroscience Institute and Department of Bioengineering, UC Berkeley, Berkeley, CA, USA. Electronic address: myartsev@berkeley.edu.

Funding

Neural basis of vocal signal recognition during natural communicationR01DC012087 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CORY T MILLER · 2012 to 2026
$5.7M
Novel gene discovery in zebra finchesR21DC014432 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI MELLO, CLAUDIO V · 2016 to 2017
$421k
NIDCD NIH HHS R01 DC012087NIDCD NIH HHS R21 DC014432
6 · The paper itself

Abstract

Vocal learning is a behavioral trait in which the social and acoustic environment shapes the vocal repertoire of individuals. Over the past century, the study of vocal learning has progressed at the intersection of ecology, physiology, neuroscience, molecular biology, genomics, and evolution. Yet, despite the complexity of this trait, vocal learning is frequently described as a binary trait, with species being classified as either vocal learners or vocal non-learners. As a result, studies have largely focused on a handful of species for which strong evidence for vocal learning exists. Recent studies, however, suggest a continuum in vocal learning capacity across taxa. Here, we further suggest that vocal learning is a multi-component behavioral phenotype comprised of distinct yet interconnected modules. Discretizing the vocal learning phenotype into its constituent modules would facilitate integration of findings across a wider diversity of species, taking advantage of the ways in which each excels in a particular module, or in a specific combination of features. Such comparative studies can improve understanding of the mechanisms and evolutionary origins of vocal learning. We propose an initial set of vocal learning modules supported by behavioral and neurobiological data and highlight the need for diversifying the field in order to disentangle the complexity of the vocal learning phenotype.

Indexed as

Auditory PerceptionFormative FeedbackLearningVocalization, AnimalAlligators and CrocodilesAnimalsBehavior, AnimalBirdsComprehensionFishesImitative BehaviorMacacaPhenotypePhoca

Identifiers

PMID31600518
PMCPMC10066796

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.