Computational Neuroscience Unit (Erik De Schutter)

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 Workshops

OIST Graduate Courses

Computational Neuroscience: 2nd term.

OIST International Workshops

Okinawa Computational Neuroscience Course (OCNC): canceled for 2020.
Course in Molecular Neuroanatomy (MNA): January 27 - February 2, 2014 (no future MNA planned at present).

CNS 2017 workshop Cerebellum: July 19, 2017, Antwerp, Belgium
Digital representation of neuronal morphologies and tissue: April 11-12, 2016
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 are looking for excellent postdoc candidates in cerebellar and cortical modeling (molecular, cellular and/or network level) or in software development.  Candidates can contact Prof. De Schutter.
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.