Computational Neuroscience Unit
Professor Erik De Schutter
We use computational, data-driven methods to study how neurons and microcircuits in the brain operate. We are interested in the interaction between fundamental properties like morphology or excitability and neural functions like information processing or learning. Most of our models concern the cerebellum because this brain structure has a relatively simple anatomy and the physiology of its main neurons has been studied extensively, allowing for detailed modeling at many different levels of complexity.
OIST Courses and Workshop
OIST Graduate Courses
Computational Neuroscience: 2nd term.
OIST International Workshops
The NeuroPhysiome: Bridging computational neuroscience and systems biology: October 3-6, 2010
Hardware and software for large-scale biological computing in the next decade: December 11-14, 2007
We have two postdoc positions open and although we are interviewing candidates we welcome additional applications.
These positions can be used to work in any of our ongoing projects.