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  1.  47
    Domain Generality Versus Modality Specificity: The Paradox of Statistical Learning.Ram Frost, Blair C. Armstrong, Noam Siegelman & Morten H. Christiansen - 2015 - Trends in Cognitive Sciences 19 (3):117-125.
  2.  31
    Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?Noam Siegelman, Louisa Bogaerts, Ofer Kronenfeld & Ram Frost - 2018 - Cognitive Science 42 (S3):692-727.
    From a theoretical perspective, most discussions of statistical learning have focused on the possible “statistical” properties that are the object of learning. Much less attention has been given to defining what “learning” is in the context of “statistical learning.” One major difficulty is that SL research has been monitoring participants’ performance in laboratory settings with a strikingly narrow set of tasks, where learning is typically assessed offline, through a set of two-alternative-forced-choice questions, which follow a brief visual or auditory familiarization (...)
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  3.  17
    Linguistic Entrenchment: Prior Knowledge Impacts Statistical Learning Performance.Noam Siegelman, Louisa Bogaerts, Amit Elazar, Joanne Arciuli & Ram Frost - 2018 - Cognition 177:198-213.
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  4.  10
    What Exactly is Learned in Visual Statistical Learning? Insights From Bayesian Modeling.Noam Siegelman, Louisa Bogaerts, Blair C. Armstrong & Ram Frost - 2019 - Cognition 192:104002.
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  5.  5
    Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages.Tamar Johnson, Noam Siegelman & Inbal Arnon - 2020 - Cognitive Science 44 (8).
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  6.  6
    What Determines Visual Statistical Learning Performance? Insights From Information Theory.Noam Siegelman, Louisa Bogaerts & Ram Frost - 2019 - Cognitive Science 43 (12).
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