BIOL 450
Computational Neuroscience
Intro to computational neuroscience with an emphasis on biophysical neuronal modeling of single neurons and small networks. Other topics include spike train analysis, dynamical systems analysis, and dimensionality reductions methods. Some Matlab and general programming skills are required.
Topics
- spike train analysis
- dynamical systems analysis
- and dimensionality reductions methods
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027