Marc-Oliver Gewaltig

EPFL SV SV-SSV SSV-ENS

EPFL ENT-R BBP BBP-CORE
Campus Biotech
Bâtiment B1
Ch. des Mines 9
CH-1202 Genève

Données administratives

Compétences

Neurorobotics
Activity dynamics in networks of spiking neurons
Closed-loop neuronal control
Computational Neuroscience
Large-scale network simulations
Neural Simulation Tool NEST


Parcours professionnel

Principal Scientist, Project Leader Computational Neuroscience, Cortex Research Honda Research Institute Europe GmbH, Offenbach, Germany 2003-2011
Senior Scientist Future Technology Research Honda R&D Europe (Deutschland) GmbH, Offenbach, Germany 1998-2003
Scientific Collaborator Institute for Biology III Albert-Ludwigs University Freiburg, Germany 1996-1998
Scientific Collaborator Institute for Neuroinformatics Ruhr-University Bochum, Germany 1993-1996

Education

PhD Physics Ruhr-University Bochum, Germany
Diploma Physics Ruhr-Univerisity Bochum, Germany 1993

Publications

Enseignement & Phd

Enseignement

  • Life Sciences Engineering,

Programmes doctoraux

  • Doctoral Program in Neuroscience

Doctorants

Cours

Unsupervised & reinforcement learning in neural networks

goto

Ingénierie des sciences du vivant, 2018-2019, Master semestre 2, language : anglais
Ingénierie des sciences du vivant, 2018-2019, Master semestre 4, language : anglais
MINEUR, 2018-2019, Semestre printemps, language : anglais
Neurosciences (edoc), 2018-2019, language : anglais

Recherche

Neurorobotics

In Neurorobotics we investigate models of nervous system in the context of a body that is embedded in a realistic (sensory rich) environment. The neural models ranges from simple artificial networks to detailed reconstructions of mammalian brains. These models are then investigated in closed-action perceptions loops. Since the real-time simulations of realistic neural systems is still for most cases out of reach, we work with simulated bodies, robots, and environments.