Attractor Networks and the Bayesian Brain

The brain understands the world by building models that predict the future.  One of the ways that it does this is by utilizing attractor networks.  These small world networks are constantly trying to determine what is a true signal from the constant noise in the neural net.  Dr. O'Leary explores how attractor networks have been hypothesized to explain psychosis, depression, and obsessive compulsive disorder, and how our various treatments might work to stabilize these networks.Please leave feedback at https://www.psydactic.com or send any comments to [email protected] and readings (when available) are posted at the end of each episode transcript, located at psydactic.buzzsprout.com.  All opinions expressed in this podcast are exclusively those of the person speaking and should not be confused with the opinions of anyone else.  We reserve the right to be wrong.  Nothing in this podcast should be treated as individual medical advice.