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Evan M. Russek
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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
4752017
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
3642017
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
222022
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
222021
Humans perseverate on punishment avoidance goals in multigoal reinforcement learning
PB Sharp*, EM Russek*, QJM Huys, RJ Dolan, E Eldar
Elife 11, e74402, 2022
172022
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, 2022
102022
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
7*2024
Centaur: a foundation model of human cognition
M Binz, E Akata, M Bethge, F Brändle, F Callaway, J Coda-Forno, ...
arXiv preprint arXiv:2410.20268, 2024
42024
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
42020
Inverting cognitive models with neural networks to infer preferences from fixations
EM Russek, F Callaway, TL Griffiths
Cognitive Science 48 (11), e70015, 2024
2024
Memory-based decision making for risky goals
S Liang, E Russek, R Rutledge, GE Wimmer
OSF, 2024
2024
Consolidation of Sequential Planning
OM Vikbladh, EM Russek, N Burgess
bioRxiv, 2024.11. 01.621475, 2024
2024
Learning from rewards and social information in naturalistic strategic behavior
I Kuperwajs, B van Opheusden, EM Russek, TL Griffiths
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 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
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Articles 1–17