ELEC 548: NEURAL SIGNAL PROCESSING
Spring 2026 · Section 001 · CRN 24668
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 483, BIOE 548. Mutually Exclusive: Cannot register for ELEC 548 if student has credit for ELEC 483.
- Credits
- 3
- Instructors
- Nishal Shah