Marc-Oliver Gewaltig

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Chargé de cours +41 21 693 18 66

Date de naissance : 31.07.1967

Campus Biotech
Bâtiment B1
Ch. des Mines 9
CH-1202 Genève

Données administratives


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


Autres publications

Alois Knoll and Marc-Oliver Gewaltig
in Brain- inspired intelligent robotics: The intersection of robotics and neuroscience (Science/AAAS, Washington, DC, 2016), p. [25-34]
Neurorobotics: A strategic pillar of the Human Brain Project
Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel Von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Huber, David Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillman, Paul Levi, Cecilia Laschi, Alois C Knoll, Marc-Oliver Gewaltig
Frontiers in Neurorobotics, 2017; 11: 2.doi: 10.3389/fnbot.2017.00002
Connecting artificial brains to robots in a comprehensive simulation framework: The Neurorobotics Platform
Schrader, S., Gewaltig, M., K�rner, U., & K�rner, E.
Neural Networks 22(8), 1055-70. doi:10.1016/j.neunet.2009.07.021
Cortext: a columnar model of bottom-up and top-down processing in the neocortex.
Nordlie, E., Gewaltig, M., & Plesser, H.
PLoS Computational Biology, 5(8). doi:10.1371/journal.pcbi.1000456
Towards reproducible descriptions of neuronal network models.
Eppler, J., Helias, M., Muller, E., Diesmann, M., & Gewaltig, M.
Frontiers in Neuroinformatics, 2(January), 1-12. Frontiers Research Foundation. doi:10.3389/neuro.11.012.2008.
PyNEST: a convenient interface to the NEST simulator.
Helias, M., Rotter, S., Gewaltig, M., & Diesmann, M.
Frontiers in computational neuroscience, 2(December), 7 (2008)
Structural plasticity controlled by calcium based correlation detection.
Cannon, R., Gewaltig, M., Gleeson, P., Bhalla, U., Cornelis, H., Hines, M., De Schutter, E.
Neuroinformatics, 5(2), 127�138. Springer. doi:10.1007/s12021-007-0004-5.
Interoperability of neuroscience modeling software: current status and future directions.
Kupper, R., Knoblauch, a., Gewaltig, M., Korner, U., & Korner, E.
Neurocomputing, 70(10-12), 1711-1716. doi:10.1016/j.neucom.2006.10.085. 2007
Simulations of signal flow in a functional model of the cortical column.
Knoblauch, A., Kupper, R., Gewaltig, M., K�rner, U., & K�rner, E.
Neurocomputing, 70(10-12), 1838�1842. Elsevier. doi: 10.1016/j.neucom.2006.10.092., 2007
A cell assembly based model for the cortical microcircuitry
Eppler, J. M., Plesser, H., Morrison, A., Diesmann, M., & Gewaltig, M.
In A. Kermarrec, L. Boug�, & T. Priol, Euro-Par 2007: Parallel Processing, Lecture Notes in Computer Science Vol 4641. Berlin: Springer-Verlag. 2007
Multithreaded and Distributed Simulation of Large Biological Neuronal Networks.
Plesser, H., Eppler, J., Morrison, A., Diesmann, M., & Gewaltig, M
Lecture Notes in Computer Science, 4641, 672. Springer.
Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers.
Gewaltig, M., & Diesmann, M.
Scholarpedia, 2(4):1430., revision #130182
NEST (Neural Simulation Tool).
Kupper, R., Gewaltig, M., K�rner, U., & K�rner, E.
Neurocomputing, 65, 189�194. Elsevier, 2005
Spike-latency codes and the effect of saccades.
Gewaltig, M., K�rner, U., & K�rner, E.
Neurocomputing, 52--54, 519-524. Elsevier, 2003
A model of surface detection and orientation tuning in primate visual cortex.
Gewaltig, M. O., Diesmann, M., & Aertsen, A.
Neural Networks, 14(6-7), 657-73. Elsevier. (2001)
Propagation of cortical synfire activity: survival probability in single trials and stability in the mean
Gewaltig, M., Diesmann, M., & Aertsen, A.
Neurocomputing, 38-40(1-4), 621-626. doi:10.1016/S0925-2312(01)00454-4 (2001)
Cortical synfire-activity: Configuration space and survival probability.
Diesmann, M., Gewaltig, M., Rotter, S., & Aertsen, A.
Neurocomputing, 38, 565�572. (2001)
State space analysis of synchronous spiking in cortical neural networks.
Aertsen, A., Diesmann, M., Gewaltig, M. O., Gr�n, S., & Rotter, S.
Novartis Found Symp, 239, 193-197,234-240. (2001)
Neural dynamics in cortical networks--precision of joint-spiking events.
Diesmann, M., Gewaltig, M. O., & Aertsen, A.
Nature, 402(6761), 529-33. doi: 10.1038/990101 (1999)
Stable propagation of synchronous spiking in cortical neural networks.
K�rner, E., Gewaltig, M., K�rner, U., Richter, A., & Rodemann, T.
Neural Networks, 12(7-8), 989�1005. (1999)
A model of computation in neocortical architecture.
Aertsen, A., Diesmann, M., & Gewaltig, M. O.
J Physiol Paris, 90, 243-247 (1996)
Propagation of synchronous spiking activity in feedforward neural networks.



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.