Evidence map›Paper›PMID 31359600›Full record

ReviewTopics in cognitive science2020

Structured Sequence Learning: Animal Abilities, Cognitive Operations, and Language Evolution.

Christopher I Petkov, Carel Ten Cate

Abstract readReview
In one paragraph

Review in Topics in cognitive science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Critical Review on the Development and Evolution of Beat Perception.Annals of the New York Academy of Sciences · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Sequences and animal intelligence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  6. Article
  7. Measuring episodic memory and mental time travel: crossing the species gap.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
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

2 authors.

Christopher I PetkovNewcastle University Medical School.
Carel Ten CateInstitute of Biology, Leiden University.

Funding

Biotechnology and Biological Sciences Research Council BB/J009849/1Wellcome Trust 102961/Z/13/ZWellcome Trust WT092606AIA
6 · The paper itself

Abstract

Human language is a salient example of a neurocognitive system that is specialized to process complex dependencies between sensory events distributed in time, yet how this system evolved and specialized remains unclear. Artificial Grammar Learning (AGL) studies have generated a wealth of insights into how human adults and infants process different types of sequencing dependencies of varying complexity. The AGL paradigm has also been adopted to examine the sequence processing abilities of nonhuman animals. We critically evaluate this growing literature in species ranging from mammals (primates and rats) to birds (pigeons, songbirds, and parrots) considering also cross-species comparisons. The findings are contrasted with seminal studies in human infants that motivated the work in nonhuman animals. This synopsis identifies advances in knowledge and where uncertainty remains regarding the various strategies that nonhuman animals can adopt for processing sequencing dependencies. The paucity of evidence in the few species studied to date and the need for follow-up experiments indicate that we do not yet understand the limits of animal sequence processing capacities and thereby the evolutionary pattern. This vibrant, yet still budding, field of research carries substantial promise for advancing knowledge on animal abilities, cognitive substrates, and language evolution.

Indexed as

Biological EvolutionCognitionLanguageSerial LearningAnimalsHumansInfantArtificial grammar learningBirdsCognitionCombinatorialHumansLanguagePrimatesRodents

Identifiers

PMID31359600
PMCPMC7537567

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.