Course Schedule - Fall Semester 2019

     

ELEC 548 001 (CRN: 12660)

NEURAL SIGNAL PROCESSING

Long Title: MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
Department: Electrical & Computer Eng.
Instructor: Kemere, Caleb T.
Meeting: 9:25AM - 10:40AM TR BRC 286 (26-AUG-2019 - 6-DEC-2019) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 35
Section Enrolled: 8
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 19
Enrollment data as of: 8-APR-2020 4:51AM
 
Fees: None
 
Final Exam: No Final Exam
Final Exam Time:
11-DEC-2019  
2:00PM - 5:00PM W TBA TBA
 
Description: This course covers advanced statistical signal processing and machine learning approaches for modern neuroscience data (primarily many-channel spike trains). Topics include latent variable models, point processes, Bayesian inference, dimensionality reduction, dynamical systems, and spectral analysis. Neuroscience applications include modeling neural firing rates, spike sorting, decoding. Mutually Exclusive: Cannot register for ELEC 548 if student has credit for ELEC 483.