Towards a theory of individual differences in statistical learning

N Siegelman, L Bogaerts… - … Transactions of the …, 2017 - royalsocietypublishing.org
In recent years, statistical learning (SL) research has seen a growing interest in tracking
individual performance in SL tasks, mainly as a predictor of linguistic abilities. We review …

Statistical learning of language: A meta‐analysis into 25 years of research

ES Isbilen, MH Christiansen - Cognitive Science, 2022 - Wiley Online Library
Statistical learning is a key concept in our understanding of language acquisition. Ample
work has highlighted its role in numerous linguistic functions—yet statistical learning is not a …

The developmental trajectory of children's auditory and visual statistical learning abilities: Modality‐based differences in the effect of age

L Raviv, I Arnon - Developmental Science, 2018 - Wiley Online Library
Infants, children and adults are capable of extracting recurring patterns from their
environment through statistical learning (SL), an implicit learning mechanism that is …

Linguistic entrenchment: Prior knowledge impacts statistical learning performance

N Siegelman, L Bogaerts, A Elazar, J Arciuli, R Frost - Cognition, 2018 - Elsevier
Statistical Learning (SL) is typically considered to be a domain-general mechanism by which
cognitive systems discover the underlying statistical regularities in the input. Recent findings …

Redefining “learning” in statistical learning: What does an online measure reveal about the assimilation of visual regularities?

N Siegelman, L Bogaerts, O Kronenfeld… - Cognitive …, 2018 - Wiley Online Library
From a theoretical perspective, most discussions of statistical learning (SL) have focused on
the possible “statistical” properties that are the object of learning. Much less attention has …

Statistically induced chunking recall: A memory‐based approach to statistical learning

ES Isbilen, SM McCauley, E Kidd… - Cognitive …, 2020 - Wiley Online Library
The computations involved in statistical learning have long been debated. Here, we build on
work suggesting that a basic memory process, chunking, may account for the processing of …

Do current statistical learning tasks capture stable individual differences in children? An investigation of task reliability across modality

I Arnon - Behavior research methods, 2020 - Springer
Do commonly used statistical-learning tasks capture stable individual differences in
children? Infants, children, and adults are capable of using statistical learning (SL) to extract …

The necessity of the hippocampus for statistical learning

NV Covington, S Brown-Schmidt… - Journal of cognitive …, 2018 - direct.mit.edu
Converging evidence points to a role for the hippocampus in statistical learning, but open
questions about its necessity remain. Evidence for necessity comes from Schapiro and …

Local patterns to global architectures: influences of network topology on human learning

EA Karuza, SL Thompson-Schill, DS Bassett - Trends in cognitive sciences, 2016 - cell.com
A core question in cognitive science concerns how humans acquire and represent
knowledge about their environments. To this end, quantitative theories of learning processes …

Statistical learning is not age‐invariant during childhood: Performance improves with age across modality

A Shufaniya, I Arnon - Cognitive science, 2018 - Wiley Online Library
Humans are capable of extracting recurring patterns from their environment via statistical
learning (SL), an ability thought to play an important role in language learning and learning …