Course Schedule - Fall Semester 2019

     

ELEC 483 001 (CRN: 13188)

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
 
Prerequisites: (MATH 354 OR MATH 355 OR CAAM 335) AND (ELEC 303 OR STAT 305 OR STAT 310) AND (CAAM 210 OR COMP 140)
Section Max Enrollment: 19
Section Enrolled: 6
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 19
Enrollment data as of: 6-APR-2020 2:36AM
 
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. Recommended Prerequisite(s): ELEC 475 and STAT 413 and COMP 540 and (ELEC 242 or ELEC 243) Mutually Exclusive: Cannot register for ELEC 483 if student has credit for ELEC 548.