Evidence map›Paper›PMID 40966354›Full record

ArticleScience (New York, N.Y.)2025

Categorical and semantic perception of the meaning of call types in zebra finches.

Julie E Elie, Aude de Witasse-Thézy, Logan Thomas, Ben Malit, Frédéric E Theunissen

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Utterance evolution: the road to generative, combinatorial communicators.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. Article
  3. Language-like properties in the vocal behavior of animals.Current opinion in neurobiology · 2026
    Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Julie E ElieNeuroscience Department, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0002-7993-0264
Aude de Witasse-ThézyMaster de Biologie, École Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France.ORCID 0009-0009-7478-2408
Logan ThomasDepartment of Biophysics, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0002-7806-3496
Ben MalitRausser College of Natural Resources, University of California, Berkeley, Berkeley, CA, USA.
Frédéric E TheunissenNeuroscience Department, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0001-8980-0650

Funding

Auditory Circuits for Interpreting Vocal Communication SignalsR01DC018321 · NIDCD · UNIVERSITY OF CALIFORNIA BERKELEY · PI Frederic E. THEUNISSEN · 2020 to 2026
$2.5M
NIDCD NIH HHS R01 DC018321
6 · The paper itself

Abstract

Vocal communication in social animals involves the production and perception of various calls that ethologists categorize into call types based on their acoustical structure and behavioral context. Whether these categories indicate distinct meanings for the animals remains unknown. The zebra finch, a gregarious songbird, uses ~11 call types that are known to communicate hunger, danger, or social conflict and to establish social contact and bonding. Using auditory discrimination tasks, we show that the birds both discriminate and categorize all the call types in their vocal repertoire. In addition, systematic errors were more frequent between call types used in similar behavioral contexts than could be expected from their acoustic similarity. Thus, zebra finches organize their calls into categories and create a mental representation of the meaning of these sounds.

Indexed as

Auditory PerceptionFinchesVocalization, AnimalAnimalsFemaleMaleSemanticsSocial Behavior

Identifiers

PMID40966354
PMCPMC12721838

What OpenQuestion holds

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Registered trials

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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.