Modeling Cognition and Perception

This course will provide an overview of computational models of perception, memory, language, knowledge representation, learning, and the effects of brain damage on cognition. These models provide a concrete way to understand how cognition and perception arise from the coherent engagement of distributed populations of neurons and how learning and development occur through the adjustment of the connections between the neurons. The course will consist of lectures describing the theory behind the models and their implementation and hands-on lab exercises in which students will get experience designing and running simulations. Familiarity with linear algebra and basic programming is recommended.

Dept. permission required.