Daniel Bennett

I'm interested in cognitive neuroscience, specifically the field of human decision making. My research investigates what might be termed the problem of reconnaissance: whether in any situation it is better for an individual to act on the basis of present beliefs, or to acquire additional information which may aid their decision, possibly at some cost.

To better understand this behaviour and its neural substrates, I use mathematical modeling of people's choices in uncertain environments, and link these models with neural data obtained using electroencephalography (EEG) and functional magnetic resonance imaging (fMRI).

Within the Decision Neuroscience Laboratory at The University of Melbourne, I am also involved in the development of novel multivariate methods for analysis of fMRI and EEG data based in machine learning.