NEU 486T
Modeling and Theory in Neuroscience
Examine the basic mathematical and computational tools central to the analysis of neural systems in a laboratory setting. Discuss linear algebra, differential equations, filtering, correlation, probability with an emphasis on quantitative methodology and applications to neuroscience. Three lecture hours and one and one-half laboratory hours a week for one semester.
Prerequisites & course information
Examine the basic mathematical and computational tools central to the analysis of neural systems in a laboratory setting. Discuss linear algebra, differential equations, filtering, correlation, probability with an emphasis on quantitative methodology and applications to neuroscience. Three lecture hours and one and one-half laboratory hours a week for one semester.
Sources
- Course catalogue ↗2026-2027