Towards a theory of individual differences in statistical learning von Siegelman, Noam, Bogaerts, Louisa, Christiansen, Morten H., Frost, Ram

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Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts von Bogaerts, Louisa, Siegelman, Noam, Frost, Ram

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HeLP: The Hebrew Lexicon project von Stein, Roni, Frost, Ram, Siegelman, Noam

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Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English von Siegelman, Noam, Kearns, Devin M., Rueckl, Jay G.

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Attention Shifts to More Complex Structures With Experience von Forest, Tess Allegra, Siegelman, Noam, Finn, Amy S.

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Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO) von Siegelman, Noam, Schroeder, Sascha, Acartürk, Cengiz, Ahn, Hee-Don, Alexeeva, Svetlana, Amenta, Simona, Bertram, Raymond, Bonandrini, Rolando, Brysbaert, Marc, Chernova, Daria, Da Fonseca, Sara Maria, Dirix, Nicolas, Duyck, Wouter, Fella, Argyro, Frost, Ram, Gattei, Carolina A., Kalaitzi, Areti, Kwon, Nayoung, Lõo, Kaidi, Marelli, Marco, Papadopoulos, Timothy C., Protopapas, Athanassios, Savo, Satu, Shalom, Diego E., Slioussar, Natalia, Stein, Roni, Sui, Longjiao, Taboh, Analí, Tønnesen, Veronica, Usal, Kerem Alp, Kuperman, Victor

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Is the Hebb repetition task a reliable measure of individual differences in sequence learning? von Bogaerts, Louisa, Siegelman, Noam, Ben-Porat, Tali, Frost, Ram

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Statistical learning as an individual ability: Theoretical perspectives and empirical evidence von Siegelman, Noam, Frost, Ram

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Text reading in English as a second language: Evidence from the Multilingual Eye-Movements Corpus von Kuperman, Victor, Siegelman, Noam, Schroeder, Sascha, Acartürk, Cengiz, Alexeeva, Svetlana, Amenta, Simona, Bertram, Raymond, Bonandrini, Rolando, Brysbaert, Marc, Chernova, Daria, Da Fonseca, Sara Maria, Dirix, Nicolas, Duyck, Wouter, Fella, Argyro, Frost, Ram, Gattei, Carolina A., Kalaitzi, Areti, Lõo, Kaidi, Marelli, Marco, Nisbet, Kelly, Papadopoulos, Timothy C., Protopapas, Athanassios, Savo, Satu, Shalom, Diego E., Slioussar, Natalia, Stein, Roni, Sui, Longjiao, Taboh, Analí, Tønnesen, Veronica, Usal, Kerem Alp

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Theory-driven classification of reading difficulties from fMRI data using Bayesian latent-mixture models von Siegelman, Noam, van den Bunt, Mark R., Lo, Jason Chor Ming, Rueckl, Jay G., Pugh, Kenneth R.

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Statistical learning abilities and their relation to language von Siegelman, Noam

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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 von Richter, Caroline G, Siegelman, Noam, Mahaffy, Kelly, Van Den Bunt, Mark, Kearns, Devin M, Landi, Nicole, Sabatini, John, Pugh, Kenneth, Hoeft, Fumiko

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Measuring individual differences in statistical learning: Current pitfalls and possible solutions von Siegelman, Noam, Bogaerts, Louisa, Frost, Ram

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The advantage of starting big: Learning from unsegmented input facilitates mastery of grammatical gender in an artificial language von Siegelman, Noam, Arnon, Inbal

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Domain generality versus modality specificity: the paradox of statistical learning von Frost, Ram, Armstrong, Blair C, Siegelman, Noam, Christiansen, Morten H

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Redefining “Learning” in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities? von Siegelman, Noam, Bogaerts, Louisa, Kronenfeld, Ofer, Frost, Ram

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What Predicts Successful Literacy Acquisition in a Second Language? von Frost, Ram, Siegelman, Noam, Narkiss, Alona, Afek, Liron

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Is there such a thing as a ‘good statistical learner’? von Bogaerts, Louisa, Siegelman, Noam, Christiansen, Morten H., Frost, Ram

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71. A Transdiagnostic Investigation of the Computational Mechanisms of Formal Thought Disorder von Fradkin, Isaac, Adams, Rick, Siegelman, Noam, Moran, Rani, Dolan, Raymond

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Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages von Johnson, Tamar, Siegelman, Noam, Arnon, Inbal

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