Effects of Stimulus Difficulty and Repetition on Printed Word Identification: An fMRI Comparison of Nonimpaired and Reading-disabled Adolescent Cohorts. - Kenneth R. Pugh; Stephen J. Frost; Rebecca Sandak; Nicole Landi; Jay G. Rueckl; R. Todd Constable; Mark S. Seidenberg; Robert K. Fulbright; Leonard Katz; W. Einar Mencl (J. Cogn. Neurosci., 2008)

Individual differences in shape bias are predicted by non-linguistic perceptual ability. - Beverly Collisson; Bernard Grela; Tammie Spaulding; Jay G. Rueckl; James S. Magnuson (CogSci, 2013)

Neural correlates of language and non-language visuospatial processing in adolescents with reading disability. - Joshua John Diehl; Stephen J. Frost; Gordon Sherman; W. Einar Mencl; Anish Kurian; Peter J. Molfese; Nicole Landi; Jonathan L. Preston; Anja Soldan; Robert K. Fulbright; Jay G. Rueckl; Mark S. Seidenberg; et al. (NeuroImage, 2014)

EARSHOT: A minimal network model of human speech recognition that operates on real speech. - James S. Magnuson; Heejo You; Jay G. Rueckl; Paul D. Allopenna; Monica Li; Sahil Luthra; Rachael Steiner; Hosung Nam; Monty Escabi; Kevin S. Brown 001; Rachel M. Theodore; Nicholas Monto (CogSci, 2019)

Friends in Low-Entropy Places: Orthographic Neighbor Effects on Visual Word Identification Differ Across Letter Positions. - Sahil Luthra; Heejo You; Jay G. Rueckl; James S. Magnuson (Cogn. Sci., 2020)

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition. - James S. Magnuson; Heejo You; Sahil Luthra; Monica Li; Hosung Nam; Monty Escabi; Kevin S. Brown 001; Paul D. Allopenna; Rachel M. Theodore; Nicholas Monto; Jay G. Rueckl (Cogn. Sci., 2020)

Distributed semantics in a neural network model of human speech recognition. - Kevin S. Brown 001; Nicholas Monto; Jay G. Rueckl; James S. Magnuson (CogSci, 2021)

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)

Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations. - Kevin S. Brown 001; Eiling Yee; Gitte Joergensen; Melissa Troyer; Elliot Saltzman; Jay G. Rueckl; James S. Magnuson; Ken McRae (Cogn. Sci., 2023)