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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)

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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Reliability of individual differences in distractor suppression driven by statistical learning

Behavior research methods, 2024-03, Vol.56 (3), p.2437-2451

2024

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Statistical learning of distractor locations is dependent on task context

Scientific reports, 2023-07, Vol.13 (1), p.11234-11234, Article 11234

2023

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Implicit Statistical Learning Across Modalities and Its Relationship With Reading in Childhood

Frontiers in psychology, 2019-08, Vol.10, p.1834-1834

2019

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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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Detection of regularities in a random environment

Quarterly journal of experimental psychology (2006), 2020-12, Vol.73 (12), p.2106-2118

2020

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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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What to expect where and when: how statistical learning drives visual selection

Trends in cognitive sciences, 2022-10, Vol.26 (10), p.860-872

2022

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Can Chunk Size Differences Explain Developmental Changes in Lexical Learning?

Frontiers in psychology, 2016-01, Vol.6, p.1925-1925

2016

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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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Does It Help to Expect Distraction? Attentional Capture Is Attenuated by High Distractor Frequency But Not by Trial-to-Trial Predictability

Journal of experimental psychology. Human perception and performance, 2022-03, Vol.48 (3), p.246-261

2022

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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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Integrating statistical learning into cognitive science

Journal of memory and language, 2020-12, Vol.115, p.104167, Article 104167

2020

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Surprisingly inflexible: Statistically learned suppression of distractors generalizes across contexts

Attention, perception & psychophysics, 2022-02, Vol.84 (2), p.459-473

2022

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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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Statistical Learning of Across-Trial Regularities During Serial Search

Journal of experimental psychology. Human perception and performance, 2022-03, Vol.48 (3), p.262-274

2022

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No evidence for spatial suppression due to across-trial distractor learning in visual search

Attention, perception & psychophysics, 2023-05, Vol.85 (4), p.1088-1105

2023

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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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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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Modality and stimulus effects on distributional statistical learning: Sound vs. sight, time vs. space

Journal of memory and language, 2024-10, Vol.138, Article 104531

2024

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What exactly is learned in visual statistical learning? Insights from Bayesian modeling

Cognition, 2019-11, Vol.192, p.104002-104002, Article 104002

2019

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When the “Tabula” is Anything but “Rasa:” What Determines Performance in the Auditory Statistical Learning Task?

Cognitive science, 2022-02, Vol.46 (2), p.e13102-n/a

2022

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Beta-Band Activity Is a Signature of Statistical Learning

The Journal of neuroscience, 2020-09, Vol.40 (39), p.7523-7530

2020

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Regularity Extraction Across Species: Associative Learning Mechanisms Shared by Human and Non‐Human Primates

Topics in cognitive science, 2019-07, Vol.11 (3), p.573-586

2019

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Towards a theory of individual differences in statistical learning

Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts

Reliability of individual differences in distractor suppression driven by statistical learning

Statistical learning of distractor locations is dependent on task context

Implicit Statistical Learning Across Modalities and Its Relationship With Reading in Childhood

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

Detection of regularities in a random environment

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

What to expect where and when: how statistical learning drives visual selection

Can Chunk Size Differences Explain Developmental Changes in Lexical Learning?

Linguistic entrenchment: Prior knowledge impacts statistical learning performance

Does It Help to Expect Distraction? Attentional Capture Is Attenuated by High Distractor Frequency But Not by Trial-to-Trial Predictability

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

Integrating statistical learning into cognitive science

Surprisingly inflexible: Statistically learned suppression of distractors generalizes across contexts

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

Statistical Learning of Across-Trial Regularities During Serial Search

No evidence for spatial suppression due to across-trial distractor learning in visual search

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

What Determines Visual Statistical Learning Performance? Insights From Information Theory

Modality and stimulus effects on distributional statistical learning: Sound vs. sight, time vs. space

What exactly is learned in visual statistical learning? Insights from Bayesian modeling

When the “Tabula” is Anything but “Rasa:” What Determines Performance in the Auditory Statistical Learning Task?

Beta-Band Activity Is a Signature of Statistical Learning

Regularity Extraction Across Species: Associative Learning Mechanisms Shared by Human and Non‐Human Primates

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