4 cr, 1st sem. Architectures studied include adaptive filters, back propagation, competitive learning, self-organizing feature maps, gradient descent procedures, Boltzmann machines, simulated annealing, neocognitron, and gated dipoles. CAS CN 510 and 520 may be taken concurrently. 4 cr, 1st sem. Current models of mammalian visual processes are constrained by experimental and theoretical results from psychology, physiology, computer science, and mathematics.
Students perform computer simulations of some of the examined models.
4 cr, 1st sem. Neural models of eye, arm, hand, orofacial, and leg movements are presented and compared to reveal general organizational principles and specialized neural circuit designs for motor learning and performance. 4 cr, 2nd sem. CAS CN 510 or consent of instructor. Develops neural network models of how internal representations of sensory events and cognitive hypotheses are learned and remembered, and how such internal representations enable recognition and recall of these events to occur.