NSCI 365 - Knowledge Networks and Neuroscience

FC NSMA

4 credits
This course examines central mathematical and computational aspects of artificial neural networks (ANNs) as well as their contributions to both a) our scientific understanding of brains and natural intelligence, and b) nascent engineering approaches to artificial intelligence. Special attention is given to the distributed knowledge representations that these networks employ and the problems that they solve via supervised, unsupervised and reinforcement learning. A good deal of time, both in and out of class, is devoted to implementing adaptive ANNs using popular, state-of-the-art software.
Prerequisites & Notes: A declared major in neuroscience or computer science, or consent of the instructor.