NEUR 01450 - Mathematical Modeling in Neuroscience

Credits: 3

Mathematical Modeling in Neuroscience introduces mathematical and computational tools that students will use to build models to simulate and analyze brain functions. Several types of models will be discussed, such as the Hodgkin-Huxley model for a single-cell system to more complicated neural encoding and decoding culminating with modern neural networks. Students will also learn about mathematical tools relevant to understanding these models, such as linear algebra, differential equations, and probability.

Prerequisite Courses: MATH 01131 with a minimum grade of D- and NEUR 01301 with a minimum grade of D-
Course Attributes: CAT, UGRD