The research in my lab focuses on computational neuroscience, computational psychiatry and computational neurology. In particular, we aim to join together brain connectivity analysis with their algorithmic role; i.e. what information brain connections relay. This work lies at the intersection of artificial intelligence (deep networks), Bayesian inference (variational principles) and experimental neurobiology (cognitive tasks in the scanner). Of particular interest are the role of families of neurotransmitters, such as noradrenaline, dopamine and serotonin, in prediction errors and model-based decision making. We use the free energy principle as a principle to develop new methods in artificial intelligence and in disease modelling, focusing on age-related neurodegenerative disease and schizophrenia. I also serve as an editor for the Neuroimage and Neuroimage Clinical journals. I am Deputy Director of King's Institute for Artificial Intelligence.

Please see my Research Staff Profile for more detail.

Key Publications:

• Moran et al., 2018. The protective action encoding of serotonin transients in the human brain. Neuropsychopharmacology.
• Symmonds et al., 2018. Ion channels in EEG: isolating channel dysfunction in NMDA receptor antibody encephalitis. Brain.
• Stephan et al., 2009. Bayesian model selection for group studies. Neuroimage.

View all publications

Key Collaborators:

• Professor Karl Friston, University College London
• Professor Read Montague, Virginia Tech
• Professor Klaas Enno Stephan, University of Zurich
• Professor Robert Leech, King's College London