Evidence map›Paper›PMID 29150414›Full record

ReviewTrends in cognitive sciences2018

Constraints on Statistical Learning Across Species.

Chiara Santolin, Jenny R Saffran

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Article
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  14. 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
  15. Article
  16. Article
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  18. Article
  19. Slow Oscillation-Spindle Coupling Predicts Sequence-Based Language Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  20. Literacy in nonspeaking autistic people.Autism : the international journal of research and practice · 2024
    Article

6 more citing papers are in PubMed but not listed here.

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.

Chiara SantolinCenter for Brain and Cognition, Universitat Pompeu Fabra, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain. Electronic address: chiara.santolin@upf.edu.
Jenny R SaffranWaisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, USA.

Funding

Statistical Learning in Language AcquisitionR37HD037466 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI SAFFRAN, JENNY R. · 2011 to 2019
$2.8M
NICHD NIH HHS R37 HD037466
6 · The paper itself

Abstract

Both human and nonhuman organisms are sensitive to statistical regularities in sensory inputs that support functions including communication, visual processing, and sequence learning. One of the issues faced by comparative research in this field is the lack of a comprehensive theory to explain the relevance of statistical learning across distinct ecological niches. In the current review we interpret cross-species research on statistical learning based on the perceptual and cognitive mechanisms that characterize the human and nonhuman models under investigation. Considering statistical learning as an essential part of the cognitive architecture of an animal will help to uncover the potential ecological functions of this powerful learning process.

Indexed as

Probability LearningAnimalsHumansSpecies Specificitycomparative psychologyinfancystatistical learning

Identifiers

PMID29150414
PMCPMC5777226

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.