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Towards a theory of individual differences in statistical learning

Philosophical transactions of the Royal Society of London. Series B. Biological sciences, 2017-01, Vol.372 (1711), p.20160059

2017

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Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts

Perspectives on psychological science, 2021-03, Vol.16 (2), p.319-337

2021

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Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English

Behavior research methods, 2020-06, Vol.52 (3), p.1292-1312

2020

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Attention Shifts to More Complex Structures With Experience

Psychological science, 2022-12, Vol.33 (12), p.2059-2072

2022

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Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO)

Behavior research methods, 2022-12, Vol.54 (6), p.2843-2863

2022

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Is the Hebb repetition task a reliable measure of individual differences in sequence learning?

Quarterly journal of experimental psychology (2006), 2018-04, Vol.71 (4), p.892-905

2018

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Statistical learning as an individual ability: Theoretical perspectives and empirical evidence

Journal of memory and language, 2015-05, Vol.81, p.105-120

2015

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Text reading in English as a second language: Evidence from the Multilingual Eye-Movements Corpus

Studies in second language acquisition, 2023-03, Vol.45 (1), p.3-37

2023

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Statistical learning abilities and their relation to language

Language and linguistics compass, 2020-03, Vol.14 (3), p.n/a

Siegelman, Noam

2020

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The impact of computer-assisted technology on literacy acquisition during COVID-19-related school closures: Group-level effects and predictors of individual-level outcomes

Frontiers in psychology, 2022-12, Vol.13, p.1001555-1001555

2022

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Measuring individual differences in statistical learning: Current pitfalls and possible solutions

Behavior research methods, 2017-04, Vol.49 (2), p.418-432

2017

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The advantage of starting big: Learning from unsegmented input facilitates mastery of grammatical gender in an artificial language

Journal of memory and language, 2015-11, Vol.85, p.60-75

2015

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Linguistic entrenchment: Prior knowledge impacts statistical learning performance

Cognition, 2018-08, Vol.177, p.198-213

2018

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Domain generality versus modality specificity: the paradox of statistical learning

Trends in cognitive sciences, 2015-03, Vol.19 (3), p.117-125

2015

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Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?

Cognitive science, 2018-06, Vol.42 (S3), p.692-727

2018

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What Predicts Successful Literacy Acquisition in a Second Language?

Psychological science, 2013-07, Vol.24 (7), p.1243-1252

2013

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71. A Transdiagnostic Investigation of the Computational Mechanisms of Formal Thought Disorder

Biological psychiatry (1969), 2023-05, Vol.93 (9), p.S122-S123

2023

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Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages

Cognitive science, 2020-08, Vol.44 (8), p.e12877-n/a

2020

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Is there such a thing as a ‘good statistical learner’?

Trends in cognitive sciences, 2022-01, Vol.26 (1), p.25-37

2022

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The multi-faceted nature of visual statistical learning: Individual differences in learning conditional and distributional regularities across time and space

Psychonomic bulletin & review, 2020-12, Vol.27 (6), p.1291-1299

2020

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Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities

Psychonomic bulletin & review, 2016-08, Vol.23 (4), p.1250-1256

2016

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What Determines Visual Statistical Learning Performance? Insights From Information Theory

Cognitive science, 2019-12, Vol.43 (12), p.e12803-n/a

2019

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Memory representations are flexibly adapted to orthographic systems: A comparison of English and Hebrew

Brain research, 2024-12, Vol.1844, p.149127, Article 149127

2024

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Attention to different statistical structures changes over the course of learning

Journal of vision (Charlottesville, Va.), 2020-10, Vol.20 (11), p.293

2020

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HeLP: The Hebrew Lexicon project

Behavior research methods, 2024-09

2024

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Towards a theory of individual differences in statistical learning

Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts

Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English

Attention Shifts to More Complex Structures With Experience

Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO)

Is the Hebb repetition task a reliable measure of individual differences in sequence learning?

Statistical learning as an individual ability: Theoretical perspectives and empirical evidence

Text reading in English as a second language: Evidence from the Multilingual Eye-Movements Corpus

Statistical learning abilities and their relation to language

The impact of computer-assisted technology on literacy acquisition during COVID-19-related school closures: Group-level effects and predictors of individual-level outcomes

Measuring individual differences in statistical learning: Current pitfalls and possible solutions

The advantage of starting big: Learning from unsegmented input facilitates mastery of grammatical gender in an artificial language

Linguistic entrenchment: Prior knowledge impacts statistical learning performance

Domain generality versus modality specificity: the paradox of statistical learning

Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?

What Predicts Successful Literacy Acquisition in a Second Language?

71. A Transdiagnostic Investigation of the Computational Mechanisms of Formal Thought Disorder

Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages

Is there such a thing as a ‘good statistical learner’?

The multi-faceted nature of visual statistical learning: Individual differences in learning conditional and distributional regularities across time and space

Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities

What Determines Visual Statistical Learning Performance? Insights From Information Theory

Memory representations are flexibly adapted to orthographic systems: A comparison of English and Hebrew

Attention to different statistical structures changes over the course of learning

HeLP: The Hebrew Lexicon project

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