Neural Network Models of Cognition

Catalog description

Neural Network models of cognitive and developmental processes in humans and non-human animal models, and the neural basis of these processes. This is a small, hands-on, discussion intensive class in which students read, comment on, and discuss readings about fundamental mathematical and computational principles of neural networks and learn about classical and contemporary applications. Students also carry out exercises in the first four weeks, then undertake projects during the last six weeks of the quarter, focusing on using models to better understand some aspect of human or animal cognition as implemented in the human brain. Intended for students with and interest in human cognition. Prerequisites: computer programming in python, familiarity with differential equations, linear algebra and probability theory, and two or more courses in cognition, cognitive development or cognitive/systems neuroscience. Instructor consent required.