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Proceedings of the National Academy of Sciences of the United States of America|October 4, 2024
Embers of autoregression show how large language models are shaped by the problem they are trained to solveR Thomas McCoy, Shunyu Yao, Dan Friedman, et al.Proceedings of the National Academy of Sciences of the United States of America|April 21, 2022
Deep models of superficial face judgmentsJoshua C Peterson, Stefan Uddenberg, Thomas L Griffiths, et al.Neural Computation|July 26, 2007
Parametric embedding for class visualizationTomoharu Iwata, Kazumi Saito, Naonori Ueda, et al.Cognition|March 26, 2021
Bayesian collective learning emerges from heuristic social learningP M Krafft, Erez Shmueli, Thomas L Griffiths, et al.Journal of Neurophysiology|December 1, 2012
Individuals with cerebellar degeneration show similar adaptation deficits with large and small visuomotor errorsJohn E Schlerf, Jing Xu, Nola M Klemfuss, et al.Trends in Cognitive Sciences|April 16, 2026
Whither symbols in the era of advanced neural networks?Thomas L Griffiths, Brenden M Lake, R Thomas McCoy, et al.Cognitive Science|April 13, 2023
Learning to Learn FunctionsMichael Y Li, Fred Callaway, William D Thompson, et al.Cognitive Science|October 24, 2025
Characterizing the Large-Scale Structure of Multimodal Semantic NetworksRaja Marjieh, Pol van Rijn, Ilia Sucholutsky, et al.Trends in Cognitive Sciences|July 5, 2025
Looking deeper into the algorithms underlying human planningIonatan Kuperwajs, Evan M Russek, Marcelo G Mattar, et al.Plos Computational Biology|June 1, 2023
Humans decompose tasks by trading off utility and computational costCarlos G Correa, Mark K Ho, Frederick Callaway, et al.Pageof 25