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How does the brain produce the mind? This course introduces methods in computational cognitive neuroscience that have been applied to answering this question. We focus on simulations of cognitive and perceptual processes, using neural network models that bridge the gap between biology and behavior. We first consider the basic biological and computational properties of individual neurons and networks of neurons, followed by learning mechanisms that allow networks to be adaptive. We examine specialized functions of various brain regions (visual cortex, hippocampus, prefrontal cortex, basal ganglia) as they pertain to various cognitive processes, including perception, learning, attention, episodic and working memory, language, and cognitive control. The class includes a lab component in which students get hands on experience with graphical neural network software, allowing deeper, more intuitive appreciation for how these systems work. Prerequisites: COGS 0010 or COGS 0420; and PSYC 0750 or NEUR 0010. Elementary calculus suggested but not required. Programming experience not needed but is helpful for students wishing to pursue advanced projects.
Offered Fall, 2009 by the Cognitive/Linguistic Sciences department(s).
View this course's page in Banner's catalog or schedule.
| Section S01 | H Hour (T.,Th. 9:00-10:20 AM) at Hunter Laboratory 265 | Add to cart |
| CRN 15334 | Michael J. Frank |