Ulrik Beierholm

(Former)

Willingness to take PhD students

Yes

PhD projects

Ulrik Beierholm is a computational neuroscientist researching issues on theoretical models of information processing at the behavioural level. His research focuses on developing statistical learning models to understand human choices in perception, cognition and learning, and on testing them through psychophysics and fMRI.

Dr Beierholm's work addresses questions such as:

How do we learn based on rewards and punishment in our environment?
What role does prior expectations about the structure of our environment play in our perception of it?
How do we process uncertainty in e.g. a gambling task or in a spatial reaching task?
How do different learning and control systems (e.g. habitual and cognitive) interact in human behavior and how are they presented in the brain?