| Disentangling the systems contributing to changes in learning during adolescence SL Master, MK Eckstein, N Gotlieb, R Dahl, L Wilbrecht, AGE Collins Developmental cognitive neuroscience 41, 100732, 2020 | 64 | 2020 |
| The interpretation of computational model parameters depends on the context MK Eckstein, SL Master, L Xia, RE Dahl, L Wilbrecht, AGE Collins Elife 11, e75474, 2022 | 50 | 2022 |
| Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal MK Eckstein, SL Master, RE Dahl, L Wilbrecht, AGE Collins Developmental Cognitive Neuroscience 55, 101106, 2022 | 31 | 2022 |
| Modeling changes in probabilistic reinforcement learning during adolescence L Xia, SL Master, MK Eckstein, B Baribault, RE Dahl, L Wilbrecht, ... PLoS computational biology 17 (7), e1008524, 2021 | 23 | 2021 |
| Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach K Sargent, UY Chavez-Baldini, SL Master, KJH Verweij, A Lok, ... NeuroImage: Clinical 30, 102617, 2021 | 19 | 2021 |
| Learning under uncertainty changes during adolescence L Xia, SL Master, M Eckstein, L Wilbrecht, AGE Collins | 13 | 2020 |
| Understanding the unique advantage of adolescents in stochastic, volatile environments: combining reinforcement learning and Bayesian Inference MK Eckstein, SL Master, RE Dahl, L Wilbrecht, AGE Collins BioRxiv, 2020 | 10 | 2020 |
| The unique advantage of adolescents in probabilistic reversal: Reinforcement learning and Bayesian inference provide adequate and complementary models MK Eckstein, SL Master, RE Dahl, L Wilbrecht, AGE Collins | 5 | 2021 |
| Corrigendum to “Disentangling the systems contributing to changes in learning during adolescence”[Dev. Cogn. Neurosci. 41, 2020, 100732] SL Master, MK Eckstein, N Gotlieb, R Dahl, L Wilbrecht, AGE Collins Developmental Cognitive Neuroscience 45, 2020 | 3 | 2020 |
| Trying harder: how cognitive effort sculpts neural representations during working memory SL Master, S Li, CE Curtis bioRxiv, 2023.12. 07.570686, 2023 | | 2023 |
| Wagers for work: Decomposing the costs of cognitive effort SL Master, CE Curtis, P Dayan bioRxiv, 2023.07. 25.550227, 2023 | | 2023 |
| Effort impacts neural representations of spatial working memory S Master, C Curtis Journal of Vision 22 (14), 4296-4296, 2022 | | 2022 |
| Reinforcement learning and Bayesian inference provide complementary models for the of adolescents in stochastic reversal MK Eckstein, SL Master, RE Dahl, L Wilbrecht, AGE Collins DEVELOPMENTAL COGNITIVE NEUROSCIENCE 55, 2022 | | 2022 |
| Modeling the development of decision making in volatile environments using strategies, reinforcement learning, and Bayesian inference M Eckstein, SL Master, R Dahl, L Wilbrecht13, AGE Collins eScholarship, University of California, 2019 | | 2019 |
| Collins MK Eckstein, SL Master, RE Dahl, L Wilbrecht, A GE | | |
