Course Schedule and Catalog
Course Schedule - Fall Semester 2020
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
Meeting: 9:40AM - 11:00AM TR BRC 284 (24-AUG-2020 - 4-DEC-2020)
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):
Graduate
Section Max Enrollment: 35
Section Enrolled: 7
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 15
Enrollment data as of: 27-SEP-2023 2:43AM
Final Exam: No Final Exam
Final Exam Time:
11-DEC-2020
9:00AM - 12:00PM F 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: BIOE 548, ELEC 483. Mutually Exclusive: Cannot register for ELEC 548 if student has credit for ELEC 483.