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.
About me
I am an Assistant Professor at the University of Florida in the Department of Electrical and Computer Engineering in the Herbert Wertheim College of Engineering. I run the Saxena Lab for Neural Control (saxena.ece.ufl.edu).
Come talk to me about research interests anytime!