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Journal of Cognition|April 29, 2024
Lexical Feedback in the Time-Invariant String Kernel (TISK) Model of Spoken Word RecognitionJames S Magnuson, Heejo You, Thomas HannaganBehavior Research Methods|May 2, 2018
TISK 1.0: An easy-to-use Python implementation of the time-invariant string kernel model of spoken word recognitionHeejo You, James S MagnusonFrontiers in Psychology|September 24, 2013
Spoken word recognition without a TRACEThomas Hannagan, James S Magnuson, Jonathan GraingerPlos Computational Biology|July 28, 2025
Recurrent neural networks as neuro-computational models of human speech recognitionChristian Brodbeck, Thomas Hannagan, James S MagnusonCognitive Science|December 4, 2020
Friends in Low-Entropy Places: Orthographic Neighbor Effects on Visual Word Identification Differ Across Letter PositionsSahil Luthra, Heejo You, Jay G Rueckl, et al.Psychonomic Bulletin & Review|April 14, 2021
Does signal reduction imply predictive coding in models of spoken word recognition?Sahil Luthra, Monica Y C Li, Heejo You, et al.Neural Computation|March 9, 2013
Learning spatial invariance with the trace rule in nonuniform distributionsJasmin Leveillé, Thomas HannaganJournal of Vision|July 19, 2013
Learning diagnostic features: the delta rule does BubblesThomas Hannagan, Jonathan GraingerThe Behavioral and Brain Sciences|August 30, 2012
Explaining word recognition, reading, the universe, and beyond: a modest proposalJonathan Grainger, Thomas HannaganCognitive Science|April 11, 2020
EARSHOT: A Minimal Neural Network Model of Incremental Human Speech RecognitionJames S Magnuson, Heejo You, Sahil Luthra, et al.Pageof 8