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Open Mind : Discoveries in Cognitive Science|April 8, 2026
A Resource-Rational Account of Human Eye Movements During Immersive Visual SearchAngela Radulescu, Bas van Opheusden, Frederick Callaway, et al.Plos Computational Biology|August 25, 2023
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine LearningSreejan Kumar, Ishita Dasgupta, Nathaniel D Daw, et al.Science (New York, N.Y.)|June 11, 2021
Using large-scale experiments and machine learning to discover theories of human decision-makingJoshua C Peterson, David D Bourgin, Mayank Agrawal, et al.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.Pageof 21