Evidence map›Paper›PMID 32041978›Full record

ArticleScientific reports2020

Statistical learning for vocal sequence acquisition in a songbird.

Logan S James, Herie Sun, Kazuhiro Wada, Jon T Sakata

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Language-like properties in the vocal behavior of animals.Current opinion in neurobiology · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. The Temporal Organization of Learned Vocal Behavior Is Predicted by Species Rather Than Experience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Article
  7. Note similarities affect syntactic stability in zebra finches.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2025
    Article
  8. Article
  9. Long-Horizon Associative Learning Explains Human Sensitivity to Statistical and Network Structures in Auditory Sequences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  10. Article
  11. The multi-dimensional nature of vocal learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  12. Article
  13. 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

4 authors at 4 institutions in 3 countries.

Logan S JamesDepartment of Biology, McGill University, Montreal, Canada.
Herie SunDepartment of Biology, McGill University, Montreal, Canada.
Kazuhiro WadaFaculty of Science, Hokkaido University, Sapporo, Japan.
Jon T SakataDepartment of Biology, McGill University, Montreal, Canada. jon.sakata@mcgill.ca.
Centre for Research on Brain Language and Music · CAHokkaido University · JPMcGill University · CAThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birdsong is a learned communicative behavior that consists of discrete acoustic elements ("syllables") that are sequenced in a controlled manner. While the learning of the acoustic structure of syllables has been extensively studied, relatively little is known about sequence learning in songbirds. Statistical learning could contribute to the acquisition of vocal sequences, and we investigated the nature and extent of sequence learning at various levels of song organization in the Bengalese finch, Lonchura striata var. domestica. We found that, under semi-natural conditions, pupils (sons) significantly reproduced the sequence statistics of their tutor's (father's) songs at multiple levels of organization (e.g., syllable repertoire, prevalence, and transitions). For example, the probability of syllable transitions at "branch points" (relatively complex sequences that are followed by multiple types of transitions) were significantly correlated between the songs of tutors and pupils. We confirmed the contribution of learning to sequence similarities between fathers and sons by experimentally tutoring juvenile Bengalese finches with the songs of unrelated tutors. We also discovered that the extent and fidelity of sequence similarities between tutors and pupils were significantly predicted by the prevalence of sequences in the tutor's song and that distinct types of sequence modifications (e.g., syllable additions or deletions) followed distinct patterns. Taken together, these data provide compelling support for the role of statistical learning in vocal production learning and identify factors that could modulate the extent of vocal sequence learning.

Indexed as

FinchesLearningVocalization, AnimalAnimals

Identifiers

PMID32041978
PMCPMC7010765
OpenAlexW3005239468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.