Neuroscience 534L:
Computational Neuroengineering (3.0 units)
Introduction to computational modeling in neuroengineering, anchored in examples of brain function. Topics include transduction, synapses, spiking, networks, normalization, learning, Bayesian models, and Kalman filtering.
- Prerequisite: BME 502
- Crosslist: This course is offered by the BME department but may qualify for major credit in NEUR. To register, enroll in BME 575.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29351D | 048 | Lecture-Lab | 11:00-12:20pm | Tue, Thu | 20 of 21 | Norberto Grzywacz | DRB351 |   |