| Habits without values. KJ Miller, A Shenhav, EA Ludvig Psychological review 126 (2), 292, 2019 | 322 | 2019 |
| Dorsal hippocampus contributes to model-based planning KJ Miller, MM Botvinick, CD Brody Nature neuroscience 20 (9), 1269-1276, 2017 | 242 | 2017 |
| Deep reinforcement learning and its neuroscientific implications M Botvinick, JX Wang, W Dabney, KJ Miller, Z Kurth-Nelson Neuron 107 (4), 603-616, 2020 | 238 | 2020 |
| Meta-learning of Sequential Strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019 | 100 | 2019 |
| Irrational time allocation in decision-making B Oud, I Krajbich, K Miller, JH Cheong, M Botvinick, E Fehr Proceedings of the Royal Society B: Biological Sciences 283 (1822), 20151439, 2016 | 92 | 2016 |
| Value representations in the rodent orbitofrontal cortex drive learning, not choice KJ Miller, MM Botvinick, CD Brody eLife 11, e64575, 2022 | 73* | 2022 |
| Unconscious neural processing differs with method used to render stimuli invisible SV Fogelson, PJ Kohler, KJ Miller, R Granger, PU Tse Frontiers in psychology 5, 601, 2014 | 72 | 2014 |
| Replay and compositional computation Z Kurth-Nelson, T Behrens, G Wayne, K Miller, L Luettgau, R Dolan, Y Liu, ... Neuron 111 (4), 454-469, 2023 | 53 | 2023 |
| Re-aligning models of habitual and goal-directed decision-making KJ Miller, EA Ludvig, G Pezzulo, A Shenhav Goal-Directed Decision Making: Computations and Neural Circuits, 2018 | 52 | 2018 |
| Multi-step Planning in the Brain KJ Miller, SJC Venditto Current Opinion in Behavioral Sciences 38, 29-39, 2021 | 49 | 2021 |
| From predictive models to cognitive models: Separable behavioral processes underlying reward learning in the rat KJ Miller, MM Botvinick, CD Brody bioRxiv, 461129, 2021 | 25* | 2021 |
| Identifying Model-Based and Model-Free Patterns in Behavior on Multi-Step Tasks KJ Miller, CD Brody, MM Botvinick bioRxiv, 096339, 2016 | 25* | 2016 |
| Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making MK Eckstein, C Summerfield, ND Daw, KJ Miller bioRxiv, 2023.05. 17.541226, 2023 | 16 | 2023 |
| Cognitive model discovery via disentangled rnns K Miller, M Eckstein, M Botvinick, Z Kurth-Nelson Advances in Neural Information Processing Systems 36, 2023 | 15 | 2023 |
| Understanding dual process cognition via the minimum description length principle T Moskovitz, KJ Miller, M Sahani, MM Botvinick PLOS Computational Biology 20 (10), e1012383, 2024 | 5* | 2024 |
| Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning. SJC Venditto, KJ Miller, CD Brody, ND Daw bioRxiv, 2024.02. 28.582617, 2024 | 3 | 2024 |
| Computational and systems neuroscience: The next 20 years C Summerfield, K Miller Plos Biology 21 (9), e3002306, 2023 | 3 | 2023 |
| Hybrid Neural-Cognitive Models Reveal How Memory Shapes Human Reward Learning M Eckstein, C Summerfield, N Daw, KJ Miller PsyArXiv, 2024 | 1 | 2024 |
| Dorsal prefrontal cortex drives perseverative behavior in mice A Lebedeva, Y Wang, L Funnell, B Terry, J Oh, K Miller, KD Harris bioRxiv, 2024.05. 02.592241, 2024 | 1 | 2024 |
| Planning in the Hippocampus: Linking Actions and Outcomes to Guide Behavior SJ Venditto, K Miller, N Daw, C Brody Computational Cognitive Neuroscience, 2024 | | 2024 |
Matthew BotvinickGoogle DeepMind, Yale Law School, University College Londongoogle.com의 이메일 확인됨