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Current Opinion in Neurobiology|March 15, 2019
What does the mind learn? A comparison of human and machine learning representationsJake Spicer, Adam N SanbornJournal of Experimental Psychology. Learning, Memory, and Cognition|December 12, 2024
Learning from missing feedback: Exemplar versus model-based methodsJerker Denrell, Adam N Sanborn, Jake SpicerCognitive Psychology|July 6, 2020
Using Occam's razor and Bayesian modelling to compare discrete and continuous representations in numerosity judgementsJake Spicer, Adam N Sanborn, Ulrik R BeierholmThe Behavioral and Brain Sciences|March 12, 2020
Sampling as a resource-rational constraintAdam N Sanborn, Jianqiao Zhu, Jake Spicer, et al.Psychological Science|July 25, 2022
Perceptual and Cognitive Judgments Show Both Anchoring and RepulsionJake Spicer, Jian-Qiao Zhu, Nick Chater, et al.Psychological Review|September 19, 2024
How do people predict a random walk? Lessons for models of human cognitionJake Spicer, Jian-Qiao Zhu, Nick Chater, et al.Psychological Review|June 8, 2023
The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response timesJian-Qiao Zhu, Joakim Sundh, Jake Spicer, et al.Communications Psychology|May 7, 2026
Generated outcomes in risky choice reveal biased sampling and sequential dependenciesJake Spicer, Yun-Xiao Li, Lucas Castillo, et al.Brain and Cognition|August 1, 2015
Types of approximation for probabilistic cognition: Sampling and variationalAdam N SanbornFrontiers in Psychology|September 11, 2014
Testing Bayesian and heuristic predictions of mass judgments of colliding objectsAdam N SanbornPageof 5