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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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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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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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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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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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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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Across-trial statistical learning of target locations in serial search

Journal of vision (Charlottesville, Va.), 2022-12, Vol.22 (14), p.3498

2022

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Stability of individual differences in distractor suppression driven by statistical learning

Journal of vision (Charlottesville, Va.), 2022-12, Vol.22 (14), p.3917

2022

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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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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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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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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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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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Context-dependent distractor location regularities: learned but not always applied

Journal of vision (Charlottesville, Va.), 2022-12, Vol.22 (14), p.3250

2022

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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, p.104531, Article 104531

2024

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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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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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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

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

Detection of regularities in a random environment

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

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

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

Across-trial statistical learning of target locations in serial search

Stability of individual differences in distractor suppression driven by statistical learning

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

Surprisingly inflexible: Statistically learned suppression of distractors generalizes across contexts

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

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

What Determines Visual Statistical Learning Performance? Insights From Information Theory

Context-dependent distractor location regularities: learned but not always applied

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

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

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

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