This seminar explores rational decision-making from
theoretical, neuroscientific, and computational perspectives. First, we will cover the theoretical foundations, exploring cognitive biases and related
studies. Next, we will look into the neuroscience of decision-making, discuss neuroimaging research in primates and humans, and explore the brain regions
involved in decision-making in healthy adults and patients. In the computational part, we will talk about models like Bayesian frameworks and reinforcement learning. The
course ends with a hands-on session where students implement Bayesian modeling
on data.
The course includes discussions of scientific papers and
book chapters. Active engagement is essential—students will present papers and participate
in discussions. The seminar will be held in English.