Lectures

Class 1: Introduction and History

Class 2: Perception and Constraint Satisfaction

Class 3: Associative Learning and Topography

Class 4: High Level Vision

Class 5: Dynamics of Integration and Decision Making

Class 6: Optimization of Decision Making

Class 7: Reward Systems and Psychodynamics

Class 8: Explore/Exploit and Noradrenergic Neuromodulation

Class 9: Statistical Learning, Semantics and Neocortex

Class 10: Bayesian Approaches and Bounded Rationality

Class 11: Interactive Activation, Statistical Learning, and Language Processing

Class 12: Language and LLMs