Computational Neuroscience Unit

Professor Erik De Schutter

color illustration of neuron 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

Okinawa Computational Neuroscience Course (OCNC): next one June 8 - June 25, 2015.
Course in Molecular Neuroanatomy (MNA): January 27 - February 2, 2014 (no future MNA planned at present).

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

Positions available

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.


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