Class overview

This course has two distinct parts, which broadly cover (1) the influence of Artificial Intelligence (AI) on the field of neuroscience, and (2) the influence of neuroscience on the field of AI. After completing the course, students should be able to:

• Perform dimensionality reduction of neural data;

• Construct encoding and decoding models of neural data, both static and dynamic in nature;

• Understand the influence of neuroscience on AI;

• Integrate building blocks inspired by neuroscience in neural networks.

Prerequisite

EEL 5840 (Fundamentals of Machine Learning) or equivalent

• Please come talk to me about your specific case if you do not have this prereq!

Class format

This course focuses on current methods in Neuro-AI, and as such, will feature excellent guest speakers from across the country, almost every week (see Schedule). The course requires participation in these guest lectures.