Studying flexible decision making and belief updating in changing environments using continuous cognitive tasks and hierarchical Bayesian models

Humans constantly adapt their behaviour to changes in their circumstances, which occur over many timescales, from milliseconds to years. We want to understand the cognitive mechanisms that allow us to achieve this flexibility. Using novel continuous decision making tasks, we study how participants integrate information across different timescales and how they continuously adapt their learning and decision strategies to changes in their environment. We optimize task design to efficiently and reliably measure the behavioural and neural signatures (using M/EEG) of these processes, while developing cognitive modelling frameworks to describe the underlying cognitive computations.