Noam Siegelman
Noam Siegelman
Haskins Laboratories
Verified email at yale.edu
Title
Cited by
Cited by
Year
Domain generality versus modality specificity: the paradox of statistical learning
R Frost, BC Armstrong, N Siegelman, MH Christiansen
Trends in cognitive sciences 19 (3), 117-125, 2015
3242015
What predicts successful literacy acquisition in a second language?
R Frost, N Siegelman, A Narkiss, L Afek
Psychological science 24 (7), 1243-1252, 2013
1912013
Statistical learning as an individual ability: Theoretical perspectives and empirical evidence
N Siegelman, R Frost
Journal of memory and language 81, 105-120, 2015
1652015
Towards a theory of individual differences in statistical learning
N Siegelman, L Bogaerts, MH Christiansen, R Frost
Philosophical Transactions of the Royal Society B: Biological Sciences 372 …, 2017
1022017
Measuring individual differences in statistical learning: Current pitfalls and possible solutions
N Siegelman, L Bogaerts, R Frost
Behavior research methods 49 (2), 418-432, 2017
972017
Redefining “learning” in statistical learning: What does an online measure reveal about the assimilation of visual regularities?
N Siegelman, L Bogaerts, O Kronenfeld, R Frost
Cognitive science 42, 692-727, 2018
482018
Linguistic entrenchment: Prior knowledge impacts statistical learning performance
N Siegelman, L Bogaerts, A Elazar, J Arciuli, R Frost
Cognition 177, 198-213, 2018
442018
Transposed-letter priming effect in Hebrew in the same–different task
S Kinoshita, D Norris, N Siegelman
Quarterly Journal of Experimental Psychology 65 (7), 1296-1305, 2012
232012
Splitting the variance of statistical learning performance: A parametric investigation of exposure duration and transitional probabilities
L Bogaerts, N Siegelman, R Frost
Psychonomic bulletin & review 23 (4), 1250-1256, 2016
222016
The advantage of starting big: Learning from unsegmented input facilitates mastery of grammatical gender in an artificial language
N Siegelman, I Arnon
Journal of Memory and Language 85, 60-75, 2015
222015
Is the Hebb repetition task a reliable measure of individual differences in sequence learning?
L Bogaerts, N Siegelman, T Ben-Porat, R Frost
Quarterly Journal of Experimental Psychology 71 (4), 892-905, 2018
92018
What exactly is learned in visual statistical learning? Insights from Bayesian modeling
N Siegelman, L Bogaerts, BC Armstrong, R Frost
Cognition 192, 104002, 2019
82019
Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English
N Siegelman, DM Kearns, JG Rueckl
Behavior Research Methods, 1-21, 2020
62020
The multi-faceted nature of visual statistical learning: Individual differences in learning conditional and distributional regularities across time and space
B Growns, N Siegelman, KA Martire
Psychonomic Bulletin & Review, 1-9, 2020
32020
Statistical learning abilities and their relation to language
N Siegelman
Language and Linguistics Compass 14 (3), e12365, 2020
32020
The role of information in visual word recognition: A perceptually-constrained connectionist account
RG Alhama, N Siegelman, R Frost, BC Armstrong
the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), 83-89, 2019
22019
Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts
L Bogaerts, N Siegelman, R Frost
Perspectives on Psychological Science, 1745691620953082, 2020
12020
Individual differences in learning the regularities between orthography, phonology and semantics predict early reading skills
N Siegelman, JG Rueckl, LM Steacy, SJ Frost, M van den Bunt, JD Zevin, ...
Journal of Memory and Language 114, 104145, 2020
12020
Unpacking the Unique Relationship Between Set for Variability and Word Reading Development: Examining Word-and Child-Level Predictors of Performance
A Edwards, L Steacy, N Siegelman, VM Rigobon, DM Kearns, J Rueckl, ...
PsyArXiv, 2020
2020
Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages
T Johnson, N Siegelman, I Arnon
Cognitive Science 44 (8), e12877, 2020
2020
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Articles 1–20