Introduction to Parallel Distributed Processing

9 units · Undergraduate

Spring: 9 units This course provides an overview of Parallel-Distributed-Processing/neural-network models of perception, memory, language, knowledge representation, and learning. The course consists of lectures describing the theory behind the models as well as their implementation, and their application to specific empirical domains. Students get hands-on experience developing and running simulation models. Prerequisites: 21-124 or 21-115 or 21-111 or 21-120 or 21-112