Computational cognitive neuroscience of perception and belief
Corlett's research group is interested in how the brain makes up the mind. They study how beliefs are formed and updated in light of evolving evidence and how those processes might go awry in serious mental illnesses and the healthy population, culminating in hallucinations, delusions, and conspiracy theorizing. Corlett believes in taking a radically reductionist approach to these issues and wonders how complex and deeply personal ideas might arise from the sorts of simple learning mechanisms that we can model in laboratory animals and artificial neural networks. This approach proffers the exciting possibility of better understanding, modeling, and perhaps even improving human decision-making, its foibles, and failures.
Phil Corlett received his Bachelor's degree in Natural Sciences (Experimental Psychology) from the University of Cambridge in 2002 and his PhD in Cognitive Neuroscience from the University of Cambridge in 2007. He came to Yale in 2010 on a one-year Parke-Davis Exchange Fellowship and never left! He joined the faculty and started the Belief, Learning, and Memory Lab in 2012. He and his partner Maureen have three children: Wren, William, and Jack.