BIOMEDE 517 - Neural Engineering

Instructor: Cynthia Chestek, Ph.D.
This course focuses on techniques for understanding and interacting with the nervous system. Students first implement quantitative models of neurons followed by models of recording and stimulation. Next, students apply machine learning techniques to extract information from large neural datasets.
Prerequisites: (BIOMEDE 211 or EES 215 or EECS 314) and EECS 216, MATH 216, and (ENGR 101 or EECS 183)
Credits: 3