michael browning

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University of Oxford

United Kingdom

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Recent Grants

Grant: Close

Cognitive neurostimulation as an antidepressant strategy?

Open Date: 2019-09-30

Close Date: 2022-09-29

Grant: Close

Pramipexole in refractory depression: Efficacy and mechanism (PAX-D)

Open Date: 2019-04-01

Close Date: 2023-03-31

Grant: Close

Tools for Human Neuroscience Drug Research 2: THuNDR2

Open Date: 2018-09-03

Close Date: 2022-09-03

Grant: Close

MICA: Application for a Mental Health Data Pathfinder award (Oxford)

Open Date: 2018-03-30

Close Date: 2020-03-30

Grant: Close

Information Bias in Depression

Open Date: 2016-03-31

Close Date: 2020-03-30

Articles (17)

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Collaborators (7)

Paul Faulkner

University of Roehampton

UNITED KINGDOM

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Catherine Harmer

Professor of Cognitive Neuroscience

University of Oxford

UNITED KINGDOM

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Harriet Dempsey-Jones

University of Queensland

AUSTRALIA

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Colin Dourish

University of Birmingham

UNITED KINGDOM

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Caroline Charpentier

Assistant Professor

University of Maryland at College Park

UNITED STATES

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Michael Colwell

University of Oxford

UNITED KINGDOM

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Verena Ly

Leiden University

NETHERLANDS

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michael browning

Research Interests

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Contact this professor

Recent Grants

Articles (17)

Humans adapt rationally to approximate estimates of uncertainty

Humans adapt rationally to approximate estimates of uncertainty

Effect of lithium on circadian activity level and flexibility in patients with bipolar disorder: results from the Oxford Lithium Trial

Missing a trick? Bupropion for the pharmacological treatment of depression in the UK

Direct serotonin release in humans shapes aversive learning and inhibition

Evaluating the efficacy and mechanisms of a ketogenic diet as adjunctive treatment for people with treatment-resistant depression: A protocol for a randomised controlled trial

Prefrontal cortex stimulation normalizes deficient adaptive learning from outcome contingencies in low mood

Pramipexole Enhances Reward Learning by Preserving Value Estimates

What is Computational Psychiatry Good For?

What Can Reinforcement Learning Models of Dopamine and Serotonin Tell Us about the Action of Antidepressants?

Using a generative model of affect to characterize affective variability and its response to treatment in bipolar disorder

The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled trial

Human perceptual learning is delayed by the N-methyl-D-aspartate receptor partial agonist D-cycloserine

How Representative are Neuroimaging Samples? Large-Scale Evidence for Trait Anxiety Differences Between fMRI and Behaviour-Only Research Participants

Negative bias in interpretation and facial expression recognition in late life depression: A case control study

Can a Predictive Processing Framework Improve the Specification of Negative Bias in Depression?

What Might Prediction Tell Us About the Dopaminergic Mechanisms of Depression?

Collaborators (7)

Paul Faulkner

Catherine Harmer

Harriet Dempsey-Jones

Colin Dourish

Caroline Charpentier

Michael Colwell

Verena Ly

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