Construction of computational models that "do the same things people do", in terms of perception, categorization, memory, language, action, etc. and typically in a fashion that is plausibly carried out by the neural networks in our brains. the model must fit behavioral, neurophysiological, and/or neurophysiological data.
Course prep: Background knowledge in computer science, cognitive science, psychology, or neuroscience and a basic understanding of the most fundamental concepts of different calculus, linear algebra, and statistics. Computer programming skills may be useful to some students as they conduct their term projects, but such skills are not required.
CSE 100 or Math 176. Please see Prerequisites Page.