Research Seminar: Daniel Bennett

The Speaker

Daniel Bennett studies mood, learning, and decision making. He uses computational methods (e.g., reinforcement learning models of behaviour, multivariate pattern analysis of neural data) to understand how these phenomena interact. He is particularly interested in investigating the ways that interactions between mood, learning, and decision making might go awry in psychiatric conditions like major depression and bipolar disorder.

See here for more information.

The Seminar

In this event in a series, speakers from within the Hub, the University, and the broader research community tell us about their research.
Our Research Seminar Series involves speakers covering a broad range of themes surrounding our Hub’s interests, so we’ll hopefully all learn something interesting. Whether you want to learn to inform your own research or to simply satisfy a personal curiosity, we hope to see you there.

Watch the Replay

Watch the recording of this seminar here on the CHDH Youtube Channel