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 are about the cerebellum or hippocampus because these brain structures have 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.
OIST Courses and Workshops
OIST Graduate Courses
Introduction to Neuroscience: 1st term (participation): canceled for 2021 and 2022.
Computational Neuroscience: 2nd term.
OIST International Workshops
Okinawa Computational Neuroscience Course (OCNC): After two years of cancellations we enjoyed OCNC 2022 during June 13 - 29, 2022! OCNC 2023 has been announced.
Past OIST and International courses and workshops
Positions for postdoctoral scholars interested in nanoscale modeling of neurons, astrocytes or synapses or in modeling cerebellar development are available, 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.