| The hippocampus as a predictive map KL Stachenfeld, MM Botvinick, SJ Gershman Nature neuroscience 20 (11), 1643-1653, 2017 | 867 | 2017 |
| What is a cognitive map? Organizing knowledge for flexible behavior TEJ Behrens, TH Muller, JCR Whittington, S Mark, AB Baram, ... Neuron 100 (2), 490-509, 2018 | 831 | 2018 |
| Design principles of the hippocampal cognitive map KL Stachenfeld, M Botvinick, SJ Gershman Advances in neural information processing systems 27, 2014 | 130 | 2014 |
| Structured agents for physical construction V Bapst, A Sanchez-Gonzalez, C Doersch, K Stachenfeld, P Kohli, ... International conference on machine learning, 464-474, 2019 | 112 | 2019 |
| Formalizing planning and information search in naturalistic decision-making LT Hunt, ND Daw, P Kaanders, MA MacIver, U Mugan, E Procyk, ... Nature neuroscience 24 (8), 1051-1064, 2021 | 78 | 2021 |
| A general model of hippocampal and dorsal striatal learning and decision making JP Geerts, F Chersi, KL Stachenfeld, N Burgess Proceedings of the National Academy of Sciences 117 (49), 31427-31437, 2020 | 58 | 2020 |
| Learned coarse models for efficient turbulence simulation K Stachenfeld, DB Fielding, D Kochkov, M Cranmer, T Pfaff, J Godwin, ... arXiv preprint arXiv:2112.15275, 2021 | 55 | 2021 |
| Flexible modulation of sequence generation in the entorhinal–hippocampal system DC McNamee, KL Stachenfeld, MM Botvinick, SJ Gershman Nature neuroscience 24 (6), 851-862, 2021 | 51 | 2021 |
| Noradrenergic control of error perseveration in medial prefrontal cortex MS Caetano, LE Jin, L Harenberg, KL Stachenfeld, AFT Arnsten, ... Frontiers in integrative neuroscience 6, 125, 2013 | 51 | 2013 |
| Jraph: A library for graph neural networks in jax J Godwin, T Keck, P Battaglia, V Bapst, T Kipf, Y Li, K Stachenfeld, ... Version 0.0 1, 2020 | 45 | 2020 |
| Spectral inference networks: Unifying deep and spectral learning D Pfau, S Petersen, A Agarwal, DGT Barrett, KL Stachenfeld arXiv preprint arXiv:1806.02215, 2018 | 39 | 2018 |
| Physical design using differentiable learned simulators KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ... arXiv preprint arXiv:2202.00728, 2022 | 37 | 2022 |
| Neuroscience needs network science DL Barabási, G Bianconi, E Bullmore, M Burgess, SY Chung, ... Journal of Neuroscience 43 (34), 5989-5995, 2023 | 35 | 2023 |
| Learned simulators for turbulence K Stachenfeld, DB Fielding, D Kochkov, M Cranmer, T Pfaff, J Godwin, ... International conference on learning representations, 2021 | 33 | 2021 |
| Graph network simulators can learn discontinuous, rigid contact dynamics KR Allen, TL Guevara, Y Rubanova, K Stachenfeld, A Sanchez-Gonzalez, ... Conference on Robot Learning, 1157-1167, 2023 | 30 | 2023 |
| A probabilistic approach to discovering dynamic full-brain functional connectivity patterns JR Manning, X Zhu, TL Willke, R Ranganath, K Stachenfeld, U Hasson, ... NeuroImage 180, 243-252, 2018 | 30 | 2018 |
| Rapid learning of predictive maps with STDP and theta phase precession TM George, W de Cothi, KL Stachenfeld, C Barry Elife 12, e80663, 2023 | 29 | 2023 |
| Graph networks with spectral message passing K Stachenfeld, J Godwin, P Battaglia arXiv preprint arXiv:2101.00079, 2020 | 13 | 2020 |
| Probabilistic successor representations with Kalman temporal differences JP Geerts, KL Stachenfeld, N Burgess arXiv preprint arXiv:1910.02532, 2019 | 12 | 2019 |
| RatInABox, a toolkit for modelling locomotion and neuronal activity in continuous environments TM George, M Rastogi, W de Cothi, C Clopath, K Stachenfeld, C Barry Elife 13, e85274, 2024 | 10 | 2024 |
Samuel GershmanProfessor, Harvard University在 fas.harvard.edu 的电子邮件经过验证
