ReviewAnnual review of psychology2018
Infant Statistical Learning.
Review in Annual review of psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
122 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The efficacy of rhythmic training for enhancing language and reading skills in children: a systematic review.BMC psychology · 2026Pooled it
- Perceptual and conceptual novelty independently guide infant looking behaviour: a systematic review and meta-analysis.Nature human behaviour · 2024Pooled it
- The profile of abstract rule learning in infancy: Meta-analytic and experimental evidence.Developmental science · 2019Pooled it
- Effects of infant feeding type on auditory event-related potentials at 24 months of age.Pediatric research · 2025Trial
- ManyBabies 3: A Multi-Lab Study of Infant Algebraic Rule Learning.Developmental science · 2026Article
- Interactive Effects of Executive Function and Language Ability on Children's Cross-Situational Word Learning.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Spontaneous emergence of context-dependent statistical learning in humans and neural networks.iScience · 2026Article
- Brain-AI convergence: Generative world models and hierarchical attention for human intelligence.Patterns (New York, N.Y.) · 2026Review
- Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit.Autism research : official journal of the International Society for Autism Research · 2026Article
- Unsupervised nonmotor learning in the human cerebellum.bioRxiv : the preprint server for biology · 2026Article
- Navigating Knowledge: Effects of State Curiosity on Children's Word Learning and Information Seeking.Developmental science · 2026Article
- Untangling brain and behavioural measures of visual statistical learning: A longitudinal study in infancy.Developmental cognitive neuroscience · 2026Article
- Children use algorithm induction to discover patterns in data.Nature communications · 2026Article
- Unsupervised visual learning is revealed for task-irrelevant natural scenes due to reduced attentional suppression effects in visual areas.Nature communications · 2026Article
- InCHORRRuS: Infant-Directed Communication Highlights and Organizes Repetition and Redundancy Through Rhythmic Structure.Annals of the New York Academy of Sciences · 2026Review
- Inferring the internal structure of groups through the integration of statistical learning and causal reasoning.Nature communications · 2026Article
- Tracking Visual Statistical Learning with Steady-State Visual Evoked Potentials: Effects of Exemplar and Category Information.Open mind : discoveries in cognitive science · 2026Article
- ALPARC: artificial languages with phonological and acoustic rhythmicity controls.Frontiers in psychology · 2026Article
- Lexical Leveraging in Novel Word Learning: Different Semantic Properties Support Learners at Different Stages of Development.Developmental science · 2026Article
- Neural entrainment to visual rules in infant and adult brain.Scientific reports · 2025Article
62 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Perception involves making sense of a dynamic, multimodal environment. In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would face an insurmountable computational problem. Infant statistical learning mechanisms facilitate the detection of structure. These abilities allow the infant to compute across elements in their environmental input, extracting patterns for further processing and subsequent learning. In this selective review, we summarize findings that show that statistical learning is both a broad and flexible mechanism (supporting learning from different modalities across many different content areas) and input specific (shifting computations depending on the type of input and goal of learning). We suggest that statistical learning not only provides a framework for studying language development and object knowledge in constrained laboratory settings, but also allows researchers to tackle real-world problems, such as multilingualism, the role of ever-changing learning environments, and differential developmental trajectories.
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Registered trials
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.