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.

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