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 | 919 | 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 | 550 | 2020 |
Theories of error back-propagation in the brain JCR Whittington, R Bogacz Trends in cognitive sciences 23 (3), 235-250, 2019 | 469 | 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 | 336 | 2017 |
How to build a cognitive map JCR Whittington, D McCaffary, JJW Bakermans, TEJ Behrens Nature neuroscience 25 (10), 1257-1272, 2022 | 171 | 2022 |
Relating transformers to models and neural representations of the hippocampal formation JCR Whittington, J Warren, TEJ Behrens International Conference on Learning Representations, 2022 | 90* | 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 | 63* | 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 | 52* | 2023 |
Actionable neural representations: Grid cells from minimal constraints W Dorrell, PE Latham, TEJ Behrens, JCR Whittington The Eleventh International Conference on Learning Representations, 2023 | 20 | 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 |
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 | 19* | 2024 |
Disentanglement via latent quantization K Hsu, W Dorrell, J Whittington, J Wu, C Finn Advances in Neural Information Processing Systems 36, 2024 | 19* | 2024 |
A cellular basis for mapping behavioural structure M El-Gaby, AL Harris, JCR Whittington, W Dorrell, A Bhomick, ME Walton, ... Nature, 1-10, 2024 | 10 | 2024 |
A tale of two algorithms: Structured slots explain prefrontal sequence memory and are unified with hippocampal cognitive maps JCR Whittington, W Dorrell, TEJ Behrens, S Ganguli, M El-Gaby Neuron, 2024 | 7* | 2024 |
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 | 6 | 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 | 4 | 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 | 3 | 2024 |
Reinforcement learning: Dopamine ramps with fuzzy value estimates JCR Whittington, TEJ Behrens Current Biology 32 (5), R213-R215, 2022 | 1 | 2022 |
The Zamba2 Suite: Technical Report P Glorioso, Q Anthony, Y Tokpanov, A Golubeva, V Shyam, J Whittington, ... arXiv preprint arXiv:2411.15242, 2024 | | 2024 |
Don't Cut Corners: Exact Conditions for Modularity in Biologically Inspired Representations W Dorrell, K Hsu, L Hollingsworth, JH Lee, J Wu, C Finn, PE Latham, ... arXiv preprint arXiv:2410.06232, 2024 | | 2024 |