The research in the Adaptive Decisions Lab is focused on understanding the dynamics of micro and mesoscopic circuits, with the primary goal to elucidate how dysfunction in mechanisms at either spatial scale leads to pathophysiology in autism spectrum disorders. We achieve this by combining rodent behavioural tasks with novel mesoscopic and 2-photon calcium imaging, optogenetics, and region-specific CRISPR-Cas9 editing of disease-related genes. 

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Collaborators: 

• Flexible decision-making in humans (Dr Burkhard Pleger, Ruhr University, Bochum, Germany)

• Emerging algorithms in reinforcement learning (Prof. Walter Senn, Universität Bern, Switzerland)

• Bayesian models of behaviour (Prof. Mark Humphries, University of Nottingham, UK)

• Reinforcement learning models of behaviour (Prof. Chris Summerfield, University of Oxford, UK)

• Neuromorphic engineering and machine learning (Dr Mattia Rigotti, IBM, Switzerland)