Research Interests

Computational/ theoretical neuroscience, machine intelligence. Frameworks and representations for understanding the world.


Publications, Preprints


2022

"How to build a cognitive map: insights from models of the hippocampal formation " [paper]

JCR Whittington, D McCaffary, JJW Bakermans, TEJ Behrens

arXiv, 2022


"Relating transformers to models and neural representations of the hippocampal formation " [paper]

JCR Whittington, J Warren, TEJ Behrens

International Conference on Learning Representations (ICLR), 2021


"Reinforcement learning: Dopamine ramps with fuzzy value estimates" [paper]

JCR Whittington, TEJ Behrens

Current Biology, 2022


2021

"Constellation: Learning relational abstractions over objects for compositional imagination" [paper]

JCR Whittington, R Kabra, L Matthey, CP Burgess, A Lerchner

arXiv, 2021


2020

"The Tolman-Eichenbaum Machine: Unifying space and relational memory through generalisation in the hippocampal formation" [paper] [code]

JCR Whittington, TH Muller, S Mark, G Chen, C Barry, N Burgess, TEJ Behrens

Cell, 2020


2019

"Theories of error back-propagation in the brain" [paper]

JCR Whittington, R Bogacz

Trends in cognitive sciences, 2019


2018

"What is a cognitive map? Organising knowledge for flexible behaviour" [paper]

TEJ Behrens, TH Muller, JCR Whittington, S Mark, AB Baram, KL Stachenfeld, Z Kurth-Nelson

Neuron, 2018


"Generalisation of structural knowledge in the hippocampal-entorhinal system" [paper] [code]

JCR Whittington, TH Muller, S Mark, C Barry, TEJ Behrens

Advances in Neural Information Processing Systems, 2018


"Intuitive planning: global navigation through cognitive maps based on grid-like codes" [paper]

AB Baram, TH Muller, JCR Whittington, TEJ Behrens

bioRxiv, 2018


2017

"An approximation of the error backpropagation algorithm in a predictive coding network with local hebbian synaptic plasticity" [paper, code]

JCR Whittington, R Bogacz

Neural computation, 2017