A fundamental goal shared by neuroscience, psychology and areas of computer science that seek to emulate human cognitive abilities, is understanding how psychological functions such as perception, attention, memory, language, cognitive control and decision making arise from computations in the brain.

This course will focus on neural network (also known as connectionist or parallel distributed processing) models. Other types (information integration, control theory, Bayesian, and symbolic production system models) will also be discussed.

Labs for this class will use PsyNeuLink, a new python package custom built to implement pscyhological models.