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
Recent Findings on the Cerebellar Microcircuitry: January 28-29, 2015
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 postdoc positions open in molecular modeling and in network modeling. Contact Prof. Erik De Schutter for more information.
Prospective PhD students should apply with the OIST Graduate School. Prospective interns can contact us first but are also expected to apply for an OIST internship.