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-triggered brain-wide activation in humans.
Journal article
Huang Q. et al, (2024), Nat Commun, 15
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Neural mechanisms of credit assignment for delayed outcomes during contingent learning.
Journal article
Witkowski PP. et al, (2024), bioRxiv
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The first year of a new era.
Journal article
Behrens TE. et al, (2024), Elife, 13
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Distributional reinforcement learning in prefrontal cortex.
Journal article
Muller TH. et al, (2024), Nat Neurosci
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A cognitive map for value-guided choice in ventromedial prefrontal cortex.
Journal article
Veselic S. et al, (2023), bioRxiv
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Generative replay underlies compositional inference in the hippocampal-prefrontal circuit.
Journal article
Schwartenbeck P. et al, (2023), Cell, 186, 4885 - 4897.e14
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PET-measured human dopamine synthesis capacity and receptor availability predict trading rewards and time-costs during foraging.
Journal article
Ianni AM. et al, (2023), Nat Commun, 14
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The human brain reactivates context-specific past information at event boundaries of naturalistic experiences.
Journal article
Hahamy A. et al, (2023), Nat Neurosci, 26, 1080 - 1089
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Replay and compositional computation.
Journal article
Kurth-Nelson Z. et al, (2023), Neuron
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ACTIONABLE NEURAL REPRESENTATIONS: GRID CELLS FROM MINIMAL CONSTRAINTS
Conference paper
Dorrell W. et al, (2023), 11th International Conference on Learning Representations, ICLR 2023