Course Schedule - Fall Semester 2018

     

ELEC 548 001 (CRN: 13557)

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 (20-AUG-2018 - 30-NOV-2018) 
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
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 35
Section Enrolled: 12
Total Cross-list Max Enrollment: 35
Total Cross-list Enrolled: 20
Enrollment data as of: 29-NOV-2020 10:26AM
 
Fees: None
 
Final Exam: No Final Exam
Final Exam Time:
8-DEC-2018  
9:00AM - 12:00PM S 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.