ArticleCurrent directions in psychological science2012
Statistical learning: From acquiring specific items to forming general rules.
Article in Current directions in psychological science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
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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.
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Who cites it
112 citing papers in PubMed.
- No gender differences in predictive processing.Scientific reports · 2026Article
- A shared predictive architecture in the sensory cortex for statistical and reward-based learning.Current opinion in neurobiology · 2026Review
- A simple threshold captures the social learning of conventions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Learning to Learn: Initial Treatment of a Partially Acquired Grammatical Form Speeds Later Learning of Rarely Used Forms for Children With Developmental Language Disorder.Language, speech, and hearing services in schools · 2026Article
- Learning of Grammar-Like Sequences by Children With Developmental Language Disorder: An Electrophysiological Examination.Journal of speech, language, and hearing research : JSLHR · 2026Article
- InCHORRRuS: Infant-Directed Communication Highlights and Organizes Repetition and Redundancy Through Rhythmic Structure.Annals of the New York Academy of Sciences · 2026Review
- The Cognitive Architecture of Infant Attachment.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025Review
- Learning of the mean, but not variance, of color distributions cues target location probability.Scientific reports · 2025Article
- Speech Stream Composition Affects Statistical Learning: Behavioral and Neural Evidence.Brain sciences · 2025Article
- Implicit Learning of Parity and Magnitude Associations with Number Color.Journal of cognition · 2025Article
- What's Surprising About Surprisal.Computational brain & behavior · 2025Article
- Categorical consistency of parity and magnitude facilitates implicit learning of color-number associations.PloS one · 2025Article
- Adaptation at the Syntax-Semantics Interface: Evidence From a Vernacular Structure.Language and speech · 2024Article
- Lexical Surprisal Shapes the Time Course of Syntactic Structure Building.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Sensitivity to word endings as probabilistic orthographic cues to lexical stress among English as second language learners.Memory & cognition · 2023Article
- Integrated effects of top-down attention and statistical learning during visual search: An EEG study.Attention, perception & psychophysics · 2023Article
- Enhanced perceptual selection of predicted stimulus orientations following statistical learning.Journal of vision · 2023Article
- Temporal learning in the suprasecond range: insights from cognitive style.Psychological research · 2023Article
- Article
- Flexible structure learning under uncertainty.Frontiers in neuroscience · 2023Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Statistical learning is a rapid and robust mechanism that enables adults and infants to extract patterns of stimulation embedded in both language and visual domains. Importantly, statistical learning operates implicitly, without instruction, through mere exposure to a set of input stimuli. However, much of what learners must acquire about a structured domain consists of principles or rules that can be applied to novel inputs. Although it has been claimed that statistical learning and rule learning are separate mechanisms, here we review evidence and provide a unifying perspective that argues for a single mechanism of statistical learning that accounts for both the learning of the input stimuli and the generalization to novel instances. The balance between instance-learning and generalization is based on two factors: the strength of perceptual biases that highlight structural regularities, and the consistency of unique versus overlapping contexts in the input.
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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.