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Individual Differences and Lexical Learning: Links to memory for faces, things, and words.

, , , and . CogSci, cognitivesciencesociety.org, (2011)

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The Dynamics of Lexical Competition During Spoken Word Recognition, , , and . Cognitive Science, 31 (1): 133--156 (2007)Are representations used for talker identification available for talker normalization?, , and . ICSLP, page 1175-1178. ISCA, (1994)Does predictive processing imply predictive coding in models of spoken word recognition?, , , , and . CogSci, page 735-740. cognitivesciencesociety.org, (2019)Universal Features in Phonological Neighbor Networks., , , , , , and . Entropy, 20 (7): 526 (2018)Individual differences in shape bias are predicted by non-linguistic perceptual ability., , , , and . CogSci, cognitivesciencesociety.org, (2013)Disentangling gestural and auditory contrast accounts of compensation for coarticulation., , and . INTERSPEECH, ISCA, (2006)Distributed semantics in a neural network model of human speech recognition., , , and . CogSci, cognitivesciencesociety.org, (2021)Individual Differences and Lexical Learning: Links to memory for faces, things, and words., , , and . CogSci, cognitivesciencesociety.org, (2011)Word length, proportion of overlap, and phonological competition in spoken word recognition., and . CogSci, cognitivesciencesociety.org, (2018)Feedback in the Time-Invariant String Kernel model of spoken word recognition.. CogSci, cognitivesciencesociety.org, (2018)