Sanborn, Adam N.

Rational approximations to rational models: alternative algorithms for category learning

Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010) · Psychological Review

Categorization, perception, and languageBayesian Modeling and Causal Inference

Cited by 369

Bayesian Brains without Probabilities

Sanborn, A. N., & Chater, N. (2016) · Trends in Cognitive Sciences

Bayesian Modeling and Causal InferenceDecision-Making and Behavioral Economics

Cited by 307

Reconciling intuitive physics and Newtonian mechanics for colliding objects

Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2013) · Psychological Review

Visual perception and processing mechanismsCategorization, perception, and language

Cited by 189

Bedtime social media use, sleep, and affective wellbeing in young adults: an experience sampling study

Das‐Friebel, A., Lenneis, A., Realo, A., Sanborn, A., Tang, N. K. Y., Wolke, D., von Mühlenen, A., & Lemola, S. (2020) · Journal of Child Psychology and Psychiatry

Sleep and related disordersImpact of Technology on Adolescents

Cited by 71

Types of approximation for probabilistic cognition: Sampling and variational.

Sanborn, A. N. (2017) · Brain and Cognition

Bayesian Modeling and Causal InferenceCognitive Science and Education Research

Cited by 45