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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Experience replay is associated with efficient nonlocal learning.
Journal article
Liu Y. et al, (2021), Science, 372
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Adapting non-invasive human recordings along multiple task-axes shows unfolding of spontaneous and over-trained choice
Journal article
Takagi Y. et al, (2021), eLife, 10
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Entorhinal and ventromedial prefrontal cortices abstract and generalize the structure of reinforcement learning problems.
Journal article
Baram AB. et al, (2020), Neuron
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Implementing a "publish, then review" model of publishing.
Journal article
Eisen MB. et al, (2020), Elife, 9
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Replay bursts in humans coincide with activation of the default mode and parietal alpha networks
Journal article
HIGGINS C. et al, (2020), Neuron
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The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation.
Journal article
Whittington JCR. et al, (2020), Cell
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Experience replay supports non-local learning
Journal article
Liu Y. et al, (2020)
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Neuronal computation underlying inferential reasoning in humans and mice
Journal article
DUPRET D. et al, (2020), Cell
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Neuronal computation underlying inferential reasoning in humans and mice
Journal article
DUPRET D. et al, (2020), Cell
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Transferring structural knowledge across cognitive maps in humans and models.
Journal article
Mark S. et al, (2020), Nat Commun, 11