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James Whittington
James Whittington
University of Oxford, Stanford University
Verified email at ndcn.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
8282018
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
4672020
Theories of error back-propagation in the brain
JCR Whittington, R Bogacz
Trends in cognitive sciences 23 (3), 235-250, 2019
4142019
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
3002017
How to build a cognitive map
JCR Whittington, D McCaffary, JJW Bakermans, TEJ Behrens
Nature neuroscience 25 (10), 1257-1272, 2022
119*2022
Relating transformers to models and neural representations of the hippocampal formation
JCR Whittington, J Warren, TEJ Behrens
International Conference on Learning Representations, 2022
71*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
35*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
122023
Disentanglement via Latent Quantization
W Dorrell, K Hsu, J Whittington, J Wu, C Finn
NeurIPS, 2023
8*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
52021
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
32023
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
22023
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
12024
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
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
Generalisation of structural knowledge in the hippocampal-entorhinal system: Supplementary Material
JCR Whittington, TH Muller, S Mark, C Barry, TEJ Behrens
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