Participants of "Models of Neural Systems" should learn basic concepts, their theoretical
foundation, and the common models used in Computational
Neuroscience. The Module ''Models of Neural Systems'' also provides some
neurobiological knowledge and explains the relevant theoretical approaches as
well as the findings resulting form these approaches so far.
After completing the Module, participants should understand strengths and limitations of the different models. Participating students will learn to appropriately choose the theoretical methods for modeling cellular neural systems. They will learn how to apply these methods while taking into account the neurobiological findings, and they should be able to critically evaluate results obtained. Participants should also be able to adapt models to new problems as well as to develop new models of neural systems.
- Kursverantwortliche/r: Richard Kempter
- Kursverantwortliche/r: Darko Komnenić
- Kursverantwortliche/r: Prof. Dr. Benjamin Lindner
- Kursverantwortliche/r: Lisa Velenosi