BIOMEDE 517 - Neural Engr

Description
Neural Engineering --- 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. Enforced Pre-Requisite: (BIOMEDE 211 or EECS 215 or 314) and EECS 216 and MATH 216 and (ENGR 101 or EECS 183).
Credits
3
Recent Professors
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Recent Semesters
Spring 2019, Spring 2018
Offered
Th, M
Avg. Class Size
37
Avg. Sections
2