Computational Neuroscience

Graduate / Professional

The design and implementation of methods to model static and dynamical neural data, including dimensionality reduction as well as encoding and decoding models. The history, design, and importance of neuroscience-inspired artificial intelligence. Prerequisite: MATH 1200 or ENAS 1510 . TTh 2:35pm-3:50pm