— Modeling in Systems Neuroscience
Modeling as a tool in systems neuroscience. Mathematical techniques will be introduced and used to explore advanced topics in echolocation, sound localization, electroreception, communications, and motor systems. Other topics include transforms, modeling assumptions, scales and linearity.
Topics
- transforms
- modeling assumptions
- scales and linearity
Topics explicitly listed in official catalogue description
Prerequisites & course information
Course Description: Modeling as a tool in systems neuroscience. Mathematical techniques will be introduced and used to explore advanced topics in echolocation, sound localization, electroreception, communications, and motor systems. Other topics include transforms, modeling assumptions, scales and linearity. Learning Activities: Lecture 3 hour(s), Lecture/Lab 1 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Lecture/Lab 1 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027