Computational cognitive neuroscience of perception and belief
I am interested in how the brain makes up the mind. I study how beliefs are formed and updated in light of evolving evidence and how those processes might go awry in serious mental illnesses and in the healthy population, culminating in hallucinations, delusions, and conspiracy theorizing. I believe in taking a radically reductionist approach to these issues, and wonder 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.