Computational Neuroscience Unit (Erik De Schutter)

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. More recently our focus shifted to nanoscale modeling of neurons, astrocytes and synapses.

Lab  @DeschutterOIST

OIST Courses and Workshops

OIST Graduate Courses

Introduction to Neuroscience: 1st term (participation): canceled for 2021.
Computational Neuroscience: 2nd term.

OIST International Workshops

Okinawa Computational Neuroscience Course (OCNC): canceled for 2021. Planned for June 6 - 30, 2022.
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

A position for a postdoctoral scholar interested in nanoscale modeling of neurons will become available June 2021, previous neuronal modeling experience is required.  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.