Publications by Marc-Oliver Gewaltig

A method to estimate the cellular composition of the mouse brain from heterogeneous datasets

Henry Markram, Srikanth Ramaswamy, Daniel Keller, Michael Reimann, Marc-Oliver Gewaltig, Yann Roussel, Dimitri Bruno Marie Rodarie

The mouse brain contains a rich diversity of inhibitory neuron types that have been characterized by their patterns of gene expression. However, it is still unclear how these cell types are distributed across the mouse brain. We developed a computational m ...

2022

Spiking Network Models and Theory: Overview

Marc-Oliver Gewaltig

Springer Science+Business Media2022

NEST: The Neural Simulation Tool

Marc-Oliver Gewaltig

Springer Science+Business Media2022

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

Henry Markram, Marc-Oliver Gewaltig

From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal joints w ...

2022

Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

Marc-Oliver Gewaltig

In studies of the visual system as well as in computer vision, the focus is often on contrast edges. However, the primate visual system contains a large number of cells that are insensitive to spatial contrast and, instead, respond to uniform homogeneous i ...

SPRINGER2021

Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience

Auke Ijspeert, Alain Destexhe, Axel von Arnim, Marc-Oliver Gewaltig, Silvestro Micera, Emanuele Formento, Egidio Falotico, Lorenzo Vannucci, Shravan Tata Ramalingasetty, Maria Pasquini, Emmanouil Angelidis

Being able to replicate real experiments with computational simulations is a unique opportunity to refine and validate models with experimental data and redesign the experiments based on simulations. However, since it is technically demanding to model all ...

FRONTIERS MEDIA SA2020

Corrigendum: A Cell Atlas for the Mouse Brain

Henry Markram, Csaba Erö, Daniel Keller, Marc-Oliver Gewaltig

2019

Electrical Compartmentalization in Neurons

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

The dendritic tree of neurons plays an important role in information processing in the brain. While it is thought that dendrites require independent subunits to perform most of their computations, it is still not understood how they compartmentalize into f ...

2019

A Cell Atlas for the Mouse Brain

Henry Markram, Daniel Keller, Marc-Oliver Gewaltig

Despite vast numbers of studies of stained cells in the mouse brain, no current brain atlas provides region-by-region neuron counts. In fact, neuron numbers are only available for about 4% of brain of regions and estimates often vary by as much as 3-fold. ...

2018

Simplification of neural network models

Wulfram Gerstner, Henry Markram, Christian Antonio Pozzorini, James Gonzalo King, Eilif Benjamin Muller, Csaba Erö, Idan Segev, Marc-Oliver Gewaltig, Willem Anna Mark Wybo, Christian Andreas Rössert

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron ...

2018

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, Axel von Arnim, Luc Guyot, Marc-Oliver Gewaltig, Stefan Deser, Egidio Falotico, Lorenzo Vannucci, Paul Levi, Nino Cauli, Sandro Weber, Patrick Van Der Smagt, Georg Hinkel, Oliver Denninger, Patrick Maier, Stefan Ulbrich, Eduardo Ros, Ugo Albanese, Igor Peric, Murat Kirtay, Alessandro Ambrosano

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, Nino Cauli, Georg Hinkel, Oliver Denninger, Henning Groenda, Stefan Ulbrich

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

Csaba Erö, Marc-Oliver Gewaltig, 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, Ugo Albanese, Murat Kirtay, Alessandro Ambrosano

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, Daniele Boccalini, Benjamin Torben-Nielsen

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

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

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