Course Schedule - Fall Semester 2021

     

ELEC 483 001 (CRN: 12001)

NEURAL SIGNAL PROCESSING

Long Title: MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
Department: Electrical & Computer Eng.
Instructor: Kemere, Caleb T.
Meeting: 10:50AM - 12:05PM TR BRC 284 (23-AUG-2021 - 3-DEC-2021) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
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):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: (MATH 354 OR MATH 355 OR CAAM 335) AND (ELEC 303 OR STAT 305 OR STAT 310 OR ECON 307) AND (CAAM 210 OR COMP 140)
Section Max Enrollment: 19
Section Enrolled: 2
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 11
Enrollment data as of: 30-NOV-2022 9:04AM
 
Additional Fees: None
 
Final Exam: No Final Exam
Final Exam Time:
9-DEC-2021  
9:00AM - 12:00PM R 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. Cross-list: ELEC 548, BIOE 548. 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.