Maria K Eckstein

Computational modeling, psychology, reinforcement learning

Silvia A. Bunge	grad student		UC Berkeley
Anne GE Collins	grad student		UC Berkeley

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Eckstein MK, Master SL, Xia L, et al. (2022) The interpretation of computational model parameters depends on the context. Elife. 11
Eckstein MK, Master SL, Dahl RE, et al. (2022) Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal. Developmental Cognitive Neuroscience. 55: 101106
Eckstein MK, Wilbrecht L, Collins AGE. (2021) What do Reinforcement Learning Models Measure? Interpreting Model Parameters in Cognition and Neuroscience. Current Opinion in Behavioral Sciences. 41: 128-137
Master SL, Eckstein MK, Gotlieb N, et al. (2020) Corrigendum to "Disentangling the systems contributing to changes in learning during adolescence" [Dev. Cogn. Neurosci. 41, 2020, 100732]. Developmental Cognitive Neuroscience. 100854
Master SL, Eckstein MK, Gotlieb N, et al. (2019) Distentangling the systems contributing to changes in learning during adolescence. Developmental Cognitive Neuroscience. 41: 100732
Eckstein MK, Starr A, Bunge SA. (2019) How the inference of hierarchical rules unfolds over time. Cognition. 185: 151-162