Marc-Oliver Gewaltig

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Related publications (25)

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Marc-Oliver Gewaltig

There have been many advances in the field of reinforcement learning in continuous control problems. Usually, these approaches use deep learning with artificial neural networks for approximation of policies and value functions. In addition, there have been ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Daniel Peppicelli, Marc-Oliver Gewaltig, Luc Guyot, Egidio Falotico, Lorenzo Vannucci, Axel von Arnim, Paul Levi, Georg Hinkel, Stefan Ulbrich, Eduardo Ros

Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensor ...

2017

A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks

Marc-Oliver Gewaltig, Egidio Falotico, Lorenzo Vannucci, Georg Hinkel, Stefan Ulbrich, Nino Cauli, Oliver Denninger, Henning Groenda

Bio-inspired robots still rely on classic robot control although advances in neurophysiology allow adaptation to control as well. However, the connection of a robot to spiking neuronal networks needs adjustments for each purpose and requires frequent adapt ...

Springer Verlag2017

Towards Simulating Data-Driven Brain Models at the Point Neuron Level on Petascale Computers

Marc-Oliver Gewaltig, Csaba Erö, Lars Schneidenbach

We present a solution to two important problems that arise in the simulation of large data-driven neural networks: (a) efficient loading of network descriptions and (b) efficient instantiation of the network by executing the model specification. To address ...

Springer International Publishing2017

Retina Color-Opponency Based Pursuit Implemented Through Spiking Neural Networks in the Neurorobotics Platform

Marc-Oliver Gewaltig, Egidio Falotico, Lorenzo Vannucci, Paul Levi, Georg Hinkel, Stefan Ulbrich, Alessandro Ambrosano, Ugo Albanese, Murat Kirtay

The 'red-green' pathway of the retina is classically recognized as one of the retinal mechanisms allowing humans to gather color information from light, by combining information from L-cones and M-cones in an opponent way. The precise retinal circuitry tha ...

Springer Int Publishing Ag2016

The Neurorobotic Platform: A simulation environment for brain-inspired robotics

Marc-Oliver Gewaltig, Paul Levi

The aim of the neurorobotic platform of the Human Brain Project is to offer scientists and technology developers a soft - ware and hardware infrastructure that allows them to connect pre-validated brain models to detailed simulations of ro- bot bodies and ...

VDE Verlag2016

A Sparse Reformulation of the Green's Function Formalism Allows Efficient Simulations of Morphological Neuron Models

Marc-Oliver Gewaltig, Willem Anna Mark Wybo, Benjamin Torben-Nielsen, Daniele Boccalini

We prove that when a class of partial differential equations, generalized from the cable equation, is defined on tree graphs and the inputs are restricted to a spatially discrete, well chosen set of points, the Green's function (GF) formalism can be rewrit ...

Massachusetts Institute of Technology Press2015

NEST: The Neural Simulation Tool

Marc-Oliver Gewaltig

Springer New York2015

Python in neuroscience

Eilif Benjamin Muller, Marc-Oliver Gewaltig, Michael Lee Hines

Frontiers Research Foundation2015

A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation

Marc-Oliver Gewaltig

Developing neuro-inspired computing paradigms that mimic nervous system function is an emerging field of research that fosters our model understanding of the biological system and targets technical applications in artificial systems. The computational powe ...

IEEE2015

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A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation

Marc-Oliver Gewaltig

IEEE2015

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Marc-Oliver Gewaltig

SPRINGER INTERNATIONAL PUBLISHING AG2018

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Daniel Peppicelli, Marc-Oliver Gewaltig, Luc Guyot, Egidio Falotico, Lorenzo Vannucci, Axel von Arnim, Paul Levi, Georg Hinkel, Stefan Ulbrich, Eduardo Ros

2017

A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks

Marc-Oliver Gewaltig, Egidio Falotico, Lorenzo Vannucci, Georg Hinkel, Stefan Ulbrich, Nino Cauli, Oliver Denninger, Henning Groenda

Springer Verlag2017