| 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 | 842 | 2018 |
| The Tolman-Eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation JCR Whittington, TH Muller, S Mark, G Chen, C Barry, N Burgess, ... Cell 183 (5), 1249-1263. e23, 2020 | 477 | 2020 |
| Theories of error back-propagation in the brain JCR Whittington, R Bogacz Trends in cognitive sciences 23 (3), 235-250, 2019 | 424 | 2019 |
| An approximation of the error backpropagation algorithm in a predictive coding network with local hebbian synaptic plasticity JCR Whittington, R Bogacz Neural computation 29 (5), 1229-1262, 2017 | 305 | 2017 |
| How to build a cognitive map JCR Whittington, D McCaffary, JJW Bakermans, TEJ Behrens Nature neuroscience 25 (10), 1257-1272, 2022 | 132 | 2022 |
| Relating transformers to models and neural representations of the hippocampal formation JCR Whittington, J Warren, TEJ Behrens International Conference on Learning Representations, 2022 | 72* | 2022 |
| Generalisation of structural knowledge in the hippocampal-entorhinal system JCR Whittington, TH Muller, S Mark, C Barry, TEJ Behrens Advances in Neural Information Processing Systems, 8493-8504, 2018 | 55* | 2018 |
| Disentanglement with biological constraints: A theory of functional cell types JCR Whittington, W Dorrell, S Ganguli, T Behrens The Eleventh International Conference on Learning Representations, 2023 | 39* | 2023 |
| Intuitive planning: global navigation through cognitive maps based on grid-like codes AB Baram, TH Muller, JCR Whittington, TEJ Behrens BioRxiv, 421461, 2018 | 20* | 2018 |
| Actionable neural representations: Grid cells from minimal constraints W Dorrell, PE Latham, TEJ Behrens, JCR Whittington The Eleventh International Conference on Learning Representations, 2023 | 15 | 2023 |
| Disentanglement via latent quantization K Hsu, W Dorrell, J Whittington, J Wu, C Finn Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Zamba: A Compact 7B SSM Hybrid Model P Glorioso, Q Anthony, Y Tokpanov, J Whittington, J Pilault, A Ibrahim, ... arXiv preprint arXiv:2405.16712, 2024 | 5 | 2024 |
| A Cellular Basis for Mapping Behavioural Structure M El-Gaby, AL Harris, JCR Whittington, W Dorrell, A Bhomick, MW Walton, ... bioRxiv, 2023.11. 04.565609, 2023 | 5 | 2023 |
| Constellation: Learning relational abstractions over objects for compositional imagination JCR Whittington, R Kabra, L Matthey, CP Burgess, A Lerchner arXiv preprint arXiv:2107.11153, 2021 | 5 | 2021 |
| Constructing future behaviour in the hippocampal formation through composition and replay JJW Bakermans, J Warren, JCR Whittington*, TEJ Behrens* bioRxiv, 2023.04. 07.536053, 2023 | 3 | 2023 |
| Zyda: A 1.3 T Dataset for Open Language Modeling Y Tokpanov, B Millidge, P Glorioso, J Pilault, A Ibrahim, J Whittington, ... arXiv preprint arXiv:2406.01981, 2024 | 1 | 2024 |
| Modularity in Biologically Inspired Representations Depends on Task Variable Range Independence W Dorrell, K Hsu, L Hollingsworth, JH Lee, J Wu, C Finn, PE Latham, ... ICML 2024 Workshop on Mechanistic Interpretability, 2024 | | 2024 |
| On prefrontal working memory and hippocampal episodic memory: Unifying memories stored in weights and activity slots JCR Whittington, W Dorrell, TEJ Behrens, S Ganguli, M El-Gaby bioRxiv, 2023.11. 05.565662, 2023 | | 2023 |
| Reinforcement learning: Dopamine ramps with fuzzy value estimates JCR Whittington, TEJ Behrens Current Biology 32 (5), R213-R215, 2022 | | 2022 |
| A Bayesian account of learning and generalising representations in the brain JCR Whittington University of Oxford, 2019 | | 2019 |
