Prediction and uncertainty in an artificial language. - Tal Linzen; Noam Siegelman; Louisa Bogaerts (CogSci, 2017)

The Role of Information in Visual Word Recognition: A Perceptually-Constrained Connectionist Account. - Raquel G. Alhama; Noam Siegelman; Ram Frost; Blair C. Armstrong (CogSci, 2019)

What Determines Visual Statistical Learning Performance? Insights From Information Theory. - Noam Siegelman; Louisa Bogaerts; Ram Frost (Cogn. Sci., 2019)

Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages. - Tamar Johnson; Noam Siegelman; Inbal Arnon (Cogn. Sci., 2020)

Statistical learning abilities and their relation to language. - Noam Siegelman (Lang. Linguistics Compass, 2020)

Theory-driven classification of reading difficulties from fMRI data using Bayesian latent-mixture models. - Noam Siegelman; Mark van den Bunt; Jason Chor Ming Lo; Jay G. Rueckl; Kenneth R. Pugh (NeuroImage, 2021)

Predicting Fixation Locations in 43 Languages based on Perceptual Constraints and Information Theory. - Talia Kate Shafir; Noam Siegelman; Ram Frost; Blair C. Armstrong (CogSci, 2022)

When the "Tabula" is Anything but "Rasa: " What Determines Performance in the Auditory Statistical Learning Task? - Amit Elazar; Raquel G. Alhama; Louisa Bogaerts; Noam Siegelman; Cristina Baus; Ram Frost (Cogn. Sci., 2022)