ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
The multi-component nature of statistical learning.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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.
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
41 citing papers in PubMed, 132 citations in OpenAlex.
- Re-Evaluating the Role of Statistical Learning: Domain-General Predictors of Language in Typical and Atypical Development.Cognitive science · 2026Article
- Second-Language Learning Facilitates Non-Adjacent Dependency Learning: Effects Moderated by Specific Language.Cognitive science · 2026Article
- Statistical learning prioritizes abstract over item-specific representations.Psychonomic bulletin & review · 2025Article
- Addressing the theory crisis in statistical learning research.NPJ science of learning · 2025Review
- Visual statistical learning requires attention.Psychonomic bulletin & review · 2025Article
- Enhancing retrieval capacity of the predictive brain through dorsolateral prefrontal cortex intervention.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Enhancing retrieval capacity of the predictive brain through dorsolateral prefrontal cortex intervention.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Errorless and errorful learning in people with aphasia across novel-object pairing and word retrieval tasks.Aphasiology · 2024Article
- Reliability of the serial reaction time task: If at first you don't succeed, try, try, try again.Quarterly journal of experimental psychology (2006) · 2024Article
- Dissociation Between Linguistic and Nonlinguistic Statistical Learning in Children with Autism.Journal of autism and developmental disorders · 2024Article
- Non-arbitrary mappings between size and sound of English words: Form typicality effects during lexical access and memory.Quarterly journal of experimental psychology (2006) · 2024Article
- Elucidating a statistical learning brain network: Coordinate-based meta-analyses and functional connectivity profiles of artificial grammar learning in healthy adults.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Exploring cognitive individuality and the underlying creativity in statistical learning and phase entrainment.EXCLI journal · 2023Review
- Flexible structure learning under uncertainty.Frontiers in neuroscience · 2023Article
- Article
- Kindergarteners Use Cross-Situational Statistics to Infer the Meaning of Grammatical Elements.Journal of psycholinguistic research · 2022Article
- Interaction within and between cortical networks subserving multisensory learning and its reorganization due to musical expertise.Scientific reports · 2022Article
- The Role of Stimulus-Specific Perceptual Fluency in Statistical Learning.Cognitive science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The central argument presented in this paper is that statistical learning (SL) is an ability comprised of multiple components that operate largely implicitly. Components relating to the stimulus encoding, retention and abstraction required for SL may include, but are not limited to, certain types of attention, processing speed and memory. It is likely that individuals vary in terms of the efficiency of these underlying components, and in patterns of connectivity among these components, and that SL tasks differ from one another in how they draw on certain underlying components more than others. This theoretical framework is of value because it can assist in gaining a clearer understanding of how SL is linked with individual differences in complex mental activities such as language processing. Variability in language processing across individuals is of central concern to researchers interested in child development, including those interested in neurodevelopmental disorders where language can be affected such as autism spectrum disorders (ASD). This paper discusses the link between SL and individual differences in language processing in the context of age-related changes in SL during infancy and childhood, and whether SL is affected in ASD. Viewing SL as a multi-component ability may help to explain divergent findings from previous empirical research in these areas and guide the design of future studies.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'.
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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.