Contact information

Email	laurence.hunt@psych.ox.ac.uk
Tel	+44 (0)1865 618346

Laurence Hunt

D.Phil.

NIHR/Wellcome Senior Postdoctoral Researcher

Computational neuroscience and neuroimaging

Laurence Hunt is a senior postdoctoral researcher funded jointly by the NIHR Biomedical Research Centre and the Wellcome Centre for Integrative Neuroimaging.

He studied pre-clinical Medicine at Cambridge University, before completing a DPhil in Neuroscience at the University of Oxford from 2007-11. He then moved to University College London on a Sir Henry Wellcome Postdoctoral Fellowship, before returning to Oxford in 2017.

His research to date has primarily addressed the neural mechanisms by which we make decisions. To gain insight into these mechanisms, he has used mathematical models that make precise predictions of both behavioural and neural data. He then tests these predictions using a range of techniques in both humans and animals.

His main contributions include new approaches to testing formal computational models of social cognition in humans; developing neuroimaging measures of attractor network models of decision making; and linking cellular and neuroimaging data via parallel experiments in humans and animal models.

His current research interests focus on the psychopharmacology of decision making. He also supports other researchers within the Wellcome Centre for Integrative Neuroimaging with computational modelling of behavioural and neural data.

WIN Troubleshooting Clinic

A distributed, hierarchical and recurrent framework for reward-based choice
Hunt LT. and Hayden BY., (2017), Nature Reviews Neuroscience, 18, 172 - 182
Approach-Induced Biases in Human Information Sampling
Hunt LT. et al, (2016), PLOS Biology, 14, e2000638 - e2000638
Autocorrelation structure at rest predicts value correlates of single neurons during reward-guided choice
Cavanagh SE. et al, (2016), eLife, 5
Capturing the temporal evolution of choice across prefrontal cortex.
Hunt LT. et al, (2015), Elife, 4
Temporally Dissociable Contributions of Human Medial Prefrontal Subregions to Reward-Guided Learning
Hauser TU. et al, (2015), Journal of Neuroscience, 35, 11209 - 11220
Divide and conquer: strategic decision areas.
Kolling N. and Hunt LT., (2015), Nat Neurosci, 18, 616 - 618
Hierarchical competitions subserving multi-attribute choice.
Hunt LT. et al, (2014), Nat Neurosci, 17, 1613 - 1622
Dissociable contributions of ventromedial prefrontal and posterior parietal cortex to value-guided choice.
Jocham G. et al, (2014), Neuroimage, 100, 498 - 506
What are the neural origins of choice variability?
Hunt LT., (2014), Trends in Cognitive Sciences, 18, 222 - 224
A neural mechanism underlying failure of optimal choice with multiple alternatives.
Chau BK. et al, (2014), Nat Neurosci, 17, 463 - 470
Trial-type dependent frames of reference for value comparison.
Hunt LT. et al, (2013), PLoS Comput Biol, 9
Psychopathy-related traits and the use of reward and social information: a computational approach.
Brazil IA. et al, (2013), Front Psychol, 4
An agent independent axis for executed and modeled choice in medial prefrontal cortex.
Nicolle A. et al, (2012), Neuron, 75, 1114 - 1121
A mechanism for value-guided choice based on the excitation-inhibition balance in prefrontal cortex.
Jocham G. et al, (2012), Nat Neurosci, 15, 960 - 961
Mechanisms underlying cortical activity during value-guided choice.
Hunt LT. et al, (2012), Nat Neurosci, 15, 470 - S3
Dissociable reward and timing signals in human midbrain and ventral striatum.
Klein-Flügge MC. et al, (2011), Neuron, 72, 654 - 664
MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization.
Woolrich M. et al, (2011), Neuroimage, 57, 1466 - 1479
Frames of reference in human social decision making
HUNT LT. and Behrens TE., (2011), Neural Basis of Motivational and Cognitive Control
The computation of social behavior.
Behrens TE. et al, (2009), Science, 324, 1160 - 1164
Associative learning of social value.
Behrens TE. et al, (2008), Nature, 456, 245 - 249
Distinctive roles for the ventral striatum and ventral prefrontal cortex during decision-making.
Hunt LT., (2008), J Neurosci, 28, 8658 - 8659
Interactions between Nitric Oxide and Corticosterone in the Regulation of Progenitor Cell Proliferation in the Dentate Gyrus of the Adult Rat
Pinnock SB. et al, (2007), Neuropsychopharmacology, 32, 493 - 504
Impulsivity and predictive control are associated with suboptimal action-selection and action-value learning in regular gamblers.
Lim MS. et al, Int Gambl Stud, 15, 489 - 505

A distributed, hierarchical and recurrent framework for reward-based choice
Hunt LT. and Hayden BY., (2017), Nature Reviews Neuroscience, 18, 172 - 182
Capturing the temporal evolution of choice across prefrontal cortex.
Hunt LT. et al, (2015), Elife, 4
Hierarchical competitions subserving multi-attribute choice.
Hunt LT. et al, (2014), Nat Neurosci, 17, 1613 - 1622
Mechanisms underlying cortical activity during value-guided choice.
Hunt LT. et al, (2012), Nat Neurosci, 15, 470 - S3
Associative learning of social value.
Behrens TE. et al, (2008), Nature, 456, 245 - 249

Recent Publications

A distributed, hierarchical and recurrent framework for reward-based choice
Hunt LT. and Hayden BY., (2017), Nature Reviews Neuroscience, 18, 172 - 182
Approach-Induced Biases in Human Information Sampling
Hunt LT. et al, (2016), PLOS Biology, 14, e2000638 - e2000638
Autocorrelation structure at rest predicts value correlates of single neurons during reward-guided choice
Cavanagh SE. et al, (2016), eLife, 5
Capturing the temporal evolution of choice across prefrontal cortex.
Hunt LT. et al, (2015), Elife, 4
Temporally Dissociable Contributions of Human Medial Prefrontal Subregions to Reward-Guided Learning
Hauser TU. et al, (2015), Journal of Neuroscience, 35, 11209 - 11220

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