Neural Coding for Motor Brain Machine Interfaces
Project Description
The project aims to build neural coding modesl for motor brain machine interfaces. Given the neural activity collected from motor brain machine interfaces, this UROP project will focus on machine learning and signal processing methods to derive the motor intentions from neural activity. The unlimited goal is to implement the model son neuroprosthesis to restore motor functions for disabled patients.
Supervisor
WANG Yiwen
Quota
1
Course type
UROP1100
UROP2100
UROP3100
Applicant's Roles
The applicant needs to survey the state-of-the-art signal processing method and program and implement it on real data.
Applicant's Learning Objectives
The applicant will gain knowledge on biosignal processing and machine learning algorithms, and hands-on experience in real data processing and programming.
Complexity of the project
Challenging