ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
Abstraction and generalization in statistical learning: implications for the relationship between semantic types and episodic tokens.
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 18 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
18 citing papers in PubMed.
- The Game of Self: Identity and Experience as Active Inference.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026Article
- Temporal dynamics of uncertainty and prediction error in musical improvisation across different periods.Scientific reports · 2024Article
- Enhancing Syntactic Knowledge in School-Age Children With Developmental Language Disorder: The Promise of Syntactic Priming.American journal of speech-language pathology · 2024Review
- Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple cultures.Scientific reports · 2023Article
- Exploring cognitive individuality and the underlying creativity in statistical learning and phase entrainment.EXCLI journal · 2023Review
- Integrating cognition in the laboratory with cognition in the real world: the time cognition takes, task fidelity, and finding tasks when they are mixed together.Frontiers in psychology · 2023Review
- Implicitly learning when to be ready: From instances to categories.Psychonomic bulletin & review · 2022Article
- THE DEVELOPMENT OF COMMUNICATION ACROSS TIMESCALES.Current directions in psychological science · 2021Article
- Contingency of semantic generalization on episodic specificity varies across development.Current biology : CB · 2021Article
- The limited role of hippocampal declarative memory in transient semantic activation during online language processing.Neuropsychologia · 2021Article
- Audiovisual Learning in Dyslexic and Typical Adults: Modulating Influences of Location and Context Consistency.Frontiers in psychology · 2021Article
- Statistical Properties of Musical Creativity: Roles of Hierarchy and Uncertainty in Statistical Learning.Frontiers in neuroscience · 2021Review
- Decoding the Real-Time Neurobiological Properties of Incremental Semantic Interpretation.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- The influence of state change on object representations in language comprehension.Memory & cognition · 2020Article
- Convergent and Distinct Effects of Multisensory Combination on Statistical Learning Using a Computer Glove.Frontiers in psychology · 2020Article
- Crossmodal Language Comprehension-Psycholinguistic Insights and Computational Approaches.Frontiers in neurorobotics · 2020Review
- The ontogeny of memory persistence and specificity.Developmental cognitive neuroscience · 2019Review
- The long road of statistical learning research: past, present and future.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Statistical approaches to emergent knowledge have tended to focus on the process by which experience of individual episodes accumulates into generalizable experience across episodes. However, there is a seemingly opposite, but equally critical, process that such experience affords: the process by which, from a space of types (e.g. onions-a semantic class that develops through exposure to individual episodes involving individual onions), we can perceive or create, on-the-fly, a specific token (a specific onion, perhaps one that is chopped) in the absence of any prior perceptual experience with that specific token. This article reviews a selection of statistical learning studies that lead to the speculation that this process-the generation, on the basis of semantic memory, of a novel episodic representation-is itself an instance of a statistical, in fact associative, process. The article concludes that the same processes that enable statistical abstraction across individual episodes to form semantic memories also enable the generation, from those semantic memories, of representations that correspond to individual tokens, and of novel episodic facts about those tokens. Statistical learning is a window onto these deeper processes that underpin cognition.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'.
Indexed as
Identifiers
What OpenQuestion holds
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.