Marc-Oliver Gewaltig
Papers
7
Total Citations
187
H-Index
5
About
Marc-Oliver Gewaltig is a pioneer at the intersection of computational neuroscience and robotics, best known for his leadership in developing the Neurorobotics Platform (NRP) as part of the Human Brain Project (HBP). His primary research areas include neurorobotics, spiking neural networks, and closed-loop brain-body simulations. Gewaltig’s major contribution is the creation of a comprehensive simulation framework that connects biologically realistic brain models—based on spiking neural networks—to virtual and physical robots. This work, detailed in his most-cited paper (117 citations), enables researchers to validate neural models by embedding them in rich sensory environments, bridging the gap between theoretical neuroscience and embodied artificial intelligence. He also advanced musculoskeletal control by combining model predictive control with deep reinforcement learning (25 citations). His notable achievements include the development of a visual tracking model implemented on the iCub robot and the integration of retina color-opponency for pursuit behaviors. By providing a standardized, high-performance computing infrastructure for neurorobotic experiments, Gewaltig has empowered scientists to iteratively develop and test brain-inspired control systems, making him a key figure in the HBP’s mission to simulate and understand the brain.
Research Focus
Key Achievements
Top Papers
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- 3A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks17 citations · 2016
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- 6HBP Neurorobotics Platform5 citations · 2017
- 7