BMES-3844: Computational Neuroscience and Neural Engineering

Description: Introduction to computational and systems neuroscience. Data analysis and signal processing techniques for neural data. Neural modeling to include mean field models, Hodgkin-Huxley models, integrate and fire models. Neural engineering and brain machine interface (BMI) applications.

Pathways: N/A

Course Hours: 3 credits

Prerequisites: MATH-1226

Required By: N/A

Corequisites: N/A

Crosslist: NEUR-3844

Repeatability: N/A

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BMES-3844: Computational Neuroscience and Neural Engineering

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