Timothy Behrens
Professor of Computational Neuroscience
- Wellcome Trust Principal Research Fellow
- Deputy Director, Wellcome Centre for Integrative Neuroimaging
I head the Computational Neuroscience Group at WIN. We study how our brains learn and represent knowledge about the world in service of flexible behaviour. We use computational descriptions at the behavioural and network levels to form predictions, and test these in neurophysiological, neurochemical, and lesion data.
If you are interested in doing a PhD with me, the best route is through one of Oxford's (or UCL's) funded schemes. There are lots of them so check them out before contacting me.
Recent publications
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Replay and compositional computation.
Journal article
Kurth-Nelson Z. et al, (2023), Neuron
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Peer review without gatekeeping.
Journal article
Eisen MB. et al, (2022), Elife, 11
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Complementary task representations in hippocampus and prefrontal cortex for generalizing the structure of problems.
Journal article
Samborska V. et al, (2022), Nat Neurosci, 25, 1314 - 1326
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How to build a cognitive map.
Journal article
Whittington JCR. et al, (2022), Nat Neurosci, 25, 1257 - 1272
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Decoding cognition from spontaneous neural activity.
Journal article
Liu Y. et al, (2022), Nat Rev Neurosci, 23, 204 - 214
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Spatiotemporally resolved multivariate pattern analysis for M/EEG.
Journal article
Higgins C. et al, (2022), Hum Brain Mapp
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Reinforcement learning: Dopamine ramps with fuzzy value estimates.
Journal article
Whittington JCR. and Behrens TEJ., (2022), Curr Biol, 32, R213 - R215
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Spatiotemporally Resolved Multivariate Pattern Analysis for M/EEG
Journal article
HIGGINS C. et al, (2022), Human Brain Mapping
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Temporally delayed linear modelling (TDLM) measures replay in both animals and humans.
Journal article
Liu Y. et al, (2021), Elife, 10
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Experience replay is associated with efficient nonlocal learning.
Journal article
Liu Y. et al, (2021), Science, 372