The successor representation in human reinforcement learning I Momennejad*, EM Russek*, JH Cheong, MM Botvinick, ND Daw, ... Nature human behaviour 1 (9), 680-692, 2017 | 424 | 2017 |
Predictive representations can link model-based reinforcement learning to model-free mechanisms EM Russek*, I Momennejad*, MM Botvinick, SJ Gershman, ND Daw PLoS computational biology 13 (9), e1005768, 2017 | 337 | 2017 |
Neural evidence for the successor representation in choice evaluation EM Russek, I Momennejad, MM Botvinick, SJ Gershman, ND Daw bioRxiv, 2021.08. 29.458114, 2021 | 17 | 2021 |
Time spent thinking in online chess reflects the value of computation EM Russek, D Acosta-Kane, B van Opheusden, MG Mattar, T Griffiths PsyArXiv, 2022 | 11 | 2022 |
Humans perseverate on punishment avoidance goals in multigoal reinforcement learning PB Sharp*, EM Russek*, QJM Huys, RJ Dolan, E Eldar Elife 11, e74402, 2022 | 10 | 2022 |
Components of behavioral activation therapy for depression engage specific reinforcement learning mechanisms in a pilot study QJM Huys, EM Russek, G Abitante, T Kahnt, JK Gollan Computational Psychiatry 6 (1), 238-255, 2022 | 8 | 2022 |
Opportunities for emotion and mental health research in the resource-rationality framework EM Russek, R Moran, D McNamee, A Reiter, Y Liu, RJ Dolan, QJM Huys Behavioral and Brain Sciences 43, 2020 | 3 | 2020 |
Heuristics in risky decision-making relate to preferential representation of information EM Russek, R Moran, Y Liu, RJ Dolan, QJM Huys Nature Communications 15 (1), 4269, 2024 | 2 | 2024 |
Memory-based decision making for risky goals S Liang, E Russek, R Rutledge, GE Wimmer OSF, 2024 | | 2024 |
Modeling the Contributions of Capacity and Control to Working Memory Development EM Russek, CR Turner, E McEwen, AM Miscov, A Seed, T Griffiths Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
Inverting cognitive models with neural networks to infer preferences from fixations E Russek, F Callaway, T Griffiths OSF, 2023 | | 2023 |
Inverting cognitive models with machine learning to infer preferences from fixations E Russek, F Callaway, TL Griffiths NeuRIPS 2023 Workshop on Gaze Meets ML, 2023 | | 2023 |
Feynman Restaurant Study B Christian, E Russek, T Griffiths OSF, 2023 | | 2023 |
The successor representation in choice evaluation EM Russek New York University, 2018 | | 2018 |