Course Schedule - Fall Semester 2021

     

ELEC 548 001 (CRN: 11826)

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):
Graduate
Section Max Enrollment: 35
Section Enrolled: 9
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 11
Enrollment data as of: 3-JUL-2022 9:57AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
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.