Core Concepts in Computational Cognitive and Neural Modeling

5 credits

Introduction to the basics of computational modeling techniques for psychologists and neuroscientists. Covers two common modeling approaches (production system models and neural network models) and describes the principles of their application to semantic memory, working memory, perception, reinforcement learning, skill acquisition, and transfer.