Course Schedule - Fall Semester 2022

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

ELEC 483 001 (CRN: 11733)

NEURAL SIGNAL PROCESSING

Long Title: MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
Department: Electrical & Computer Eng.
Instructor: Dutta, Shayok
Meeting: 10:50AM - 12:05PM TR (22-AUG-2022 - 2-DEC-2022) 
Part of Term: 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: 4
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 14
Enrollment data as of: 19-JUL-2024 11:15AM
 
Additional Fees: None
 
Final Exam: No Final Exam
Final Exam Time:
13-DEC-2022  
9:00AM - 12:00PM T
 
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.