Changes in statistical learning across development — TEI-tagged view

Forest, Schlichting, Duncan, Finn · 2023 · psychology · doi:10.1038/s44159-023-00157-0 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (pdftext); every evidence string verified as an exact substring of that text before merging. Claim type is 'prediction' because the review's own contribution is a set of forward-looking, admittedly untested proposals about input and representation, not a new empirical result; the empirical synthesis it reports (improvement on direct measures except for aural syllables) is secondary. The extracted text cites all prior work by superscript number only, with no author names, so claim relations targets are described by reference number rather than by author; both relations are explicit self-positioning sentences, not bare citations. Numerous other citations were left out for that reason. 2026-08-14 schema-0.3 pass: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
This record’s own method is review, and the tags below follow from that. A review’s findings, quantities and statistics are things stated IN this paper, and some of them report results obtained elsewhere. No tag on this page names a different author. Measured across every review in this corpus, 81% of a review’s tags carry no citation at all — most of them are the review speaking. The corpus does not adjudicate the rest: read an unmarked tag as a claim this paper makes, not necessarily one it made first.
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
statistical learning2 skill learning serial reaction time tasks external feedback implicit learning3 review319

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenondevelopment of statistical learning— “Discovering whether and how statistical learning changes with development is likely to inform long-standing questions about why children excel relative to adults in some areas, such as learning language16 and solving problems that require unconventional solutions17,18.”
claim-typeprediction— “Reviewing related behavioural and neural evidence, we posited that infants and young children might have broader and less-filtered access to the statistical structure present in their learning environments and that what they represent after statistical learning might shift with age.”
method — evidence— “In this Review, we first synthesize empirical work on the development of statistical learning, which indicates that it improves with development only for certain forms of input.”
mechanismfaster forgetting in infancy strips away the idiosyncratic details of individual experiences, so what accumulates is a general, fuzzy representation of the commonalities— “Thus, faster forgetting — and greater forgetting between experiences — can produce fuzzy, general representations (Fig. 5).”mechanisms[0]
mechanismimmature selective attention leaves children unable to filter their input, which widens the pool of structure available for statistical learning— “Because children cannot use attention to filter their experience as well as adults, they can potentially learn more about the parts of experience that adults exclude for being outside their narrower focus of attention.”mechanisms[1]
mechanismattention gates statistical learning in adults, so a narrower adult attentional focus means less input is eligible to be learned at any moment— “Attention can gate10,81 statistical learning in adults such that unattended aspects of an environment are not always learned.”mechanisms[2]
mechanismchildren's distributed attention makes them sample many structures at once, trading speed of learning any single structure for knowledge of relationships between structures— “In a complex environment with multiple structures, infants and children might therefore spend more time learning from multiple sources at once, slowing their learning of any given structure, but also potentially bolstering their knowledge of possible relationships among different sources of structure.”mechanisms[3]
mechanismthe early-maturing monosynaptic hippocampal pathway extracts regularities across many similar experiences and therefore yields fuzzy rather than specific representations— “The early-developing monosynaptic pathway is thought to learn regularities from many similar experiences, yielding fuzzy representations in humans and monkeys alike78.”mechanisms[4]
mechanismprior knowledge blocks learning of conflicting structure, so accumulated experience narrows what a learner can pick up— “In adults, knowledge seems to impact statistical learning: adults fail to learn structures that conflict with their previous knowledge.”mechanisms[5]
builds-on previous work arguing that children's advantage in language learning stems from their ongoing cognitive development (refs 16, 171, 172)— “Regarding language, we join previous work that suggests that children’s prowess in language learning has to do with their ongoing cognitive development16,171,172.”claim_relations[0]
contradicts definitions treating statistical learning as a singular, inherently implicit learning system (ref 185)— “Although some definitions conceptualize statistical learning as a singular and inherently implicit learning system185, we favour the conceptualization of statistical learning as supported by a set of learning processes, some of which can result in conscious access to learning20,21,34.”claim_relations[1]
sensestatistical learning - STIPULATED IN A BOX, WITH AN ADDED REQUIREMENT: defined as the learning of structure from repeated exposure to environmental statistics, with the further requirement that learning occur without reinforcement or external feedback - so the absence of feedback is part of the definition rather than a feature of the phenomenon— “Similar to others19, we further require that learning occurs without reinforcement or external feedback”senses[0]
sensestatistical learning - A SET OF PROCESSES, NOT A SINGLE IMPLICIT SYSTEM: the review names the rival conceptualization - a singular and inherently implicit learning system - and takes the other, under which some of the processes can result in conscious access; whether the term denotes one thing or several decides whether results from different tasks can be pooled— “Although some definitions conceptualize statistical learning as a singular and inherently implicit learning system185, we favour the conceptualization of statistical learning as supported by a set of learning processes”senses[1]
sensethe exclusion of skill learning - A BOUNDARY MADE OF AN ASSAY: motor-based skill learning is put outside the category because it is TYPICALLY ASSESSED in tasks that provide external feedback, so the same phenomenon assessed without feedback would fall inside, and the hedge 'typically' is the authors' own— “We exclude motor-based skill learning (such as serial reaction time tasks) from statistical learning, because it is typically assessed in tasks that provide external feedback”senses[2]
edgeskill learning —distinct-from→ statistical learning— “We exclude motor-based skill learning (such as serial reaction time tasks) from statistical learning, because it is typically assessed in tasks that provide external feedback”concept_edges[0]
edgeserial reaction time tasks —is-a→ skill learning— “We exclude motor-based skill learning (such as serial reaction time tasks) from statistical learning, because it is typically assessed in tasks that provide external feedback”concept_edges[1]
for which uselimitation — the developmental account offered in the discussion: IT IS LARGELY SPECULATIVE AND REMAINS TO BE TESTED— “Although this discussion builds on previous observations about developmental changes in statistical learning, it is largely speculative and remains to be tested.”limitations[0]
for which uselimitation — any claim about shifting neural substrates: A CONFIDENT APPRAISAL OF POTENTIAL DEVELOPMENTAL SHIFTS IN THE NEURAL STRUCTURES THAT ARE INVOLVED IN STATISTICAL LEARNING CANNOT BE MADE FROM JUST TWO STUDIES— “However, a confident appraisal of potential developmental shifts in the neural structures that are involved in statistical learning cannot be made from just two studies that have measured the function of specific brain regions.”limitations[1]
for which uselimitation — the developmental timelines the argument uses: MUCH OF THE DATA ON THESE EXACT TIMELINES COME FROM HISTOLOGICAL STUDIES IN ANIMALS AND BEHAVIOURAL HUMAN MEMORY DEVELOPMENT RESEARCH, SO THESE POSSIBILITIES FOR STATISTICAL LEARNING REQUIRE CONFIRMATION IN HUMAN INFANTS— “Much of the data on these exact timelines come from histological studies in animals and behavioural human memory development research, so these possibilities for statistical learning require confirmation in human infants.”limitations[2]
for which uselimitation — any finding reported in this review: the authors reject the conceptualization of statistical learning as a singular and inherently implicit system in favour of a set of learning processes, some of which can result in conscious access to learning— “Although some definitions conceptualize statistical learning as a singular and inherently implicit learning system185, we favour the conceptualization of statistical learning as supported by a set of learning processes”limitations[3]
for which uselimitation — the scope of statistical learning as used here: motor-based skill learning, such as serial reaction time tasks, is excluded because it is typically assessed in tasks that provide external feedback, so the boundary follows the assessment method rather than the phenomenon— “We exclude motor-based skill learning (such as serial reaction time tasks) from statistical learning, because it is typically assessed in tasks that provide external feedback”limitations[4]
for which uselimitation — any developmental comparison of statistical learning: the authors state it— “However, this availability does not necessarily mean that statistical learning is age-invariant15. Indeed, statistical learning likely changes in quality with age, operating over different sources of data and producing different representations”limitations[5]
replicationuntested
limitationThe paper's proposed developmental account is speculative and not yet tested.— “Although this discussion builds on previous observations about developmental changes in statistical learning, it is largely speculative and remains to be tested.”limitations[0]
limitationThe developmental neuroimaging base is too thin to support conclusions about shifting neural substrates.— “However, a confident appraisal of potential developmental shifts in the neural structures that are involved in statistical learning cannot be made from just two studies that have measured the function of specific brain regions.”limitations[1]
limitationThe developmental timelines invoked come from animal histology and general memory research, not from human statistical-learning data.— “Much of the data on these exact timelines come from histological studies in animals and behavioural human memory development research, so these possibilities for statistical learning require confirmation in human infants.”limitations[2]
limitationThe review adopts one of two competing conceptualizations of its subject and says which it rejects.— “Although some definitions conceptualize statistical learning as a singular and inherently implicit learning system185, we favour the conceptualization of statistical learning as supported by a set of learning processes”limitations[3]
limitationA category boundary is drawn by how the excluded thing is typically assessed.— “We exclude motor-based skill learning (such as serial reaction time tasks) from statistical learning, because it is typically assessed in tasks that provide external feedback”limitations[4]
limitationThe quantity being compared across ages may itself differ by age.— “However, this availability does not necessarily mean that statistical learning is age-invariant15. Indeed, statistical learning likely changes in quality with age, operating over different sources of data and producing different representations”limitations[5]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingIndirect measures suggest statistical learning changes little or not at all with development.— “Indirect measures suggest that statistical learning changes little or not at all with development.”content_tags.findings[0]
findingDirect measures, by contrast, suggest developmental change in statistical learning ability.— “By contrast, direct measures suggest developmental change in statistical learning…content_tags.findings[1]
findingIn children aged 5 to 12, visual but not aural-syllable statistical learning improved with age.content_tags.findings[2]
findingThe review's central synthesis is that the format of what is learned changes with age, from fuzzy in infancy to specific in early childhood to broad-plus-specific later.content_tags.findings[3]
findingSensory cortices and often the basal ganglia are conspicuously missing from the regions underpinning statistical learning in infancy and childhood.content_tags.findings[4]
findingThe developmental neuroimaging evidence base is extremely thin, resting on a single infant functional imaging study.
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content_tags.findings[5]
findingThe review finds different developmental trajectories: non-linguistic auditory and visual statistical learning improve across childhood while learning of aurally presented syllables does not.
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content_tags.findings[6]
quantity0–24 months / 2–7 years / 7–10 years / 18–35 years — the four developmental brackets the review uses to organize the literature
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content_tags.quantities[0]
quantityone of four — how many developmental statistical learning studies found basal ganglia involvement
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content_tags.quantities[1]
quantity18–24 months — estimated age at which the trisynaptic hippocampal pathway supporting specific memories emerges in humans
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content_tags.quantities[2]
quantity5–7 vs 8–9 years — the age split at which children move from remembering only specific transitions to remembering both broad groups and specific transitions
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content_tags.quantities[3]
quantity8-month-old — age at which infants were shown to represent statistical input as chunks rather than as specific transitional probabilities
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content_tags.quantities[4]
definitionstatistical learning
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content_tags.definitions[0]
definitionfuzzy representations
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content_tags.definitions[1]
definitionbroad representations
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content_tags.definitions[2]
definitionneural entrainment
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content_tags.definitions[3]
definitionindirect measures of statistical learning
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content_tags.definitions[4]
Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptstatistical learning
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concepts[0]
conceptskill learning
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concepts[1]
conceptserial reaction time tasks
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concepts[2]
conceptexternal feedback
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concepts[3]
conceptimplicit learning
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concepts[4]

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