エリック・デシュッター

Erik De Schutter

Computational Neuroscience Unit

Professor Erik De Schutter

erik at oist.jp

 

Erik De Schutter studied medicine in Belgium where he got his MD in 1984 at the University of Antwerp and subsequently specialized as a neuropsychiatrist. During this residency he started work on computational modeling of central pattern generation in the leech (1). In 1990 he became a research fellow at the California Institute of Science and Technology where he developed his famous Purkinje cell model (2, 3). Subsequently he started in 1993 the Theoretical Neurobiology group at the University of Antwerp which focused on modeling the cerebellum. There he contributed to understanding synaptic plasticity (4, 9) and oscillations (5) in the cerebellum and on software development for reaction-diffusion modeling (7) and automated parameter searching (8). The group also contributed experimental studies on cerebellar physiology (6). Erik De Schutter became in a 2007 a principal investigator at OIST where he leads the Computational Neuroscience Unit.

Erik De Schutter is involved with several international organizations promoting computational neuroscience (10). He is president of the Organization for Computational Neuroscience (http://www.cnsorg.org) and member of the governing board of the International Neuroinformatics Coordinating Facility (http://www.incf.org).

Publications (10 of 134)

  1. E. De Schutter, J.D. Angstadt and R.L. Calabrese: A model of graded synaptic transmission for use in dynamic network simulations.  Journal of Neurophysiology 69: 1225-1235 (1993).
  2. E. De Schutter and J.M. Bower: Simulated responses of cerebellar Purkinje cells are independent of the dendritic location of granule cell synaptic inputs.  Proceedings of the National Academy of Sciences USA 91: 4736-4740 (1994).
  3. E. De Schutter and J.M. Bower: An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice.  Journal of Neurophysiology  71: 375-400 (1994).
  4. E. De Schutter: Cerebellar long-term depression might normalize excitation of Purkinje cells: a hypothesis. Trends in Neurosciences 18: 291-295 (1995).
  5. R. Maex and E. De Schutter: Synchronization of Golgi and granule cell firing in a detailed network model of the cerebellar granule cell layer.   Journal of Neurophysiology 80: 2521-2537 (1998).
  6. B.P. Vos, A. Volny-Luraghi and E. De Schutter: Cerebellar Golgi cells in the rat: receptive fields and timing of responses to facial stimulation.  European Journal of Neuroscience 11: 2621-2634 (1999).
  7. F. Santamaria, S. Wils, E. De Schutter and G.J. Augustine: Anomalous diffusion in Purkinje cell dendrites caused by dendritic spines. Neuron 52: 635-648 (2006).
  8. P. Achard and E. De Schutter: Complex parameter landscape for a complex neuron model. PLoS Computational Biology 2: e94, 794-804 (2006).
  9. V. Steuber, W. Mittmann, F.E. Hoebeek, R.A. Silver, C.I. De Zeeuw, M. Häusser and E. De Schutter: Cerebellar LTD and pattern recognition by Purkinje cells. Neuron 54: 121–136 (2007).
  10. E. De Schutter: Why are Computational neuroscience and Systems biology so separate? PLoS Computational Biology 4: e1000078 (2008).

Publications based on work at OIST are mentioned on the Unit's page