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: Advised prerequisites: {BME 211 or EECS 215 or EECS 314}, EECS 216, Math 216, and {ENGR 101 or EECS 183}
Credits: 3

Course Profile 




Instruction Mode: Online – Synchronous