Professor of Computational Neuroscience
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.