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Felix Schürmann

Cette personne n’est plus à l’EPFL

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Publications associées (82)

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

Pierre Magistretti, Renaud Jolivet, Henry Markram, Felix Schürmann, Corrado Cali, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Stefan Eilemann, Jay Coggan, Daniya Boges, Kalpana Kare, Markus Hadwiger, Marco Agus

One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require ...

2018

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Maurizio Ferdinando Pezzoli, Ying Shi, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Olivier Richard Hagens, Armando Romani, Christian Andreas Rössert, Michele Migliore, Szabolcs Kali, Carmen Alina Lupascu, Rosanna Migliore, Audrey Mercer, Luca Leonardo Bologna, Stefano Maximiliano Antonel

Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal synaptic input patterns into a single spiking output. This function is specified by the particular shape and passive electrical properties of the neuronal memb ...

2018

Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies

Felix Schürmann, Fabien Jonathan Delalondre, Judit Planas Carbonell

Important progress in computational sciences has been made possible recently thanks to the increasing computing power of high performance systems. Following this trend, larger scientific studies, like brain tissue simulations, will continue to grow in the ...

Springer International Publishing2018

Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate

Pierre Magistretti, Henry Markram, Felix Schürmann, Corrado Cali, Daniel Keller, Jay Coggan

Although efficient compared to computers, the human brain utilizes energy at 10-fold the rate of other organs by mass. How the brain is supplied with sufficient on-demand energy to support its activity in the absence of neuronal storage capacity remains un ...

2018

Reconstruction and simulation of neocortical microcircuitry

Henry Markram, Felix Schürmann, Sean Lewis Hill, Eilif Benjamin Muller

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reconstructing and simulating neocortical microcircuitry. In one aspect, a method includes providing a model of neural tissue, the model including differ ...

2018

Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation

Henry Markram, Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Julian Charles Shillcock, Ahmet Bilgili, Stefan Eilemann

Background: We present a visualization pipeline capable of accurate rendering of highly scattering fluorescent neocortical neuronal models. The pipeline is mainly developed to serve the computational neurobiology community. It allows the scientists to visu ...

2017

Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies

Henry Markram, Felix Schürmann, Juan Bautista Hernando Vieites, Marwan Muhammad Ahmed Abdellah, Stefan Eilemann, Nicolas Antille

Background: We present a software workflow capable of building large scale, highly detailed and realistic volumetric models of neocortical circuits from the morphological skeletons of their digitally reconstructed neurons. The limitations of the existing a ...

2017

Single Neuron Optimization as a Basis for Accurate Biophysical Modeling : The Case of Cerebellar Granule Cells

Felix Schürmann, Werner Alfons Hilda Van Geit, Stefano Masoli, Egidio D'Angelo

In realistic neuronal modeling, once the ionic channel complement has been defined, the maximum ionic conductance (Gi-max) values need to be tuned in order to match the firing pattern revealed by electrophysiological recordings. Recently, selection/mutatio ...

Frontiers Media Sa2017

Neuromapp: A Mini-application Framework to Improve Neural Simulators

Felix Schürmann, Timothée Ewart, Fabien Jonathan Delalondre, Francesco Cremonesi, Judit Planas Carbonell

The increasing complexity and heterogeneity of extreme scale systems makes the optimization of large scale scientific applications particularly challenging. Efficiently leveraging these complex systems requires a great deal of technical expertise and a con ...

Springer International Publishing2017

Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON

Felix Schürmann, Michael Lee Hines

Large multiscale neuronal network simulations are of increasing value as more big data are gathered about brain wiring and organization under the auspices of a current major research initiative, such as Brain Research through Advancing Innovative Neurotech ...

Mit Press2016

Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations

Felix Schürmann, James Gonzalo King, Michael Lee Hines, Aleksandr Ovcharenko, Pramod Shivaji Kumbhar

The European Dynamical Exascale Entry Platform (DEEP) is an example of a new type of heterogeneous supercomputing architecture that include both a standard multicore-based "Cluster" used to run less scalable parts of an application, and an Intel MIC-based ...

Springer Int Publishing Ag2016

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Idan Segev, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Michael Emiel Gevaert

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a comple ...

Frontiers Research Foundation2016

An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data

Felix Schürmann

The accurate subdivision of spatially organized datasets is a complex problem in computer science but specifically important for load balancing in parallel environments. The problem is to (a) find a partitioning where each partition has the same number of ...

2016

Key/Value-enabled Flash Memory for Complex Scientific Workflows with On-line Analysis and Visualization

Felix Schürmann, Alessandro Curioni, Stefan Eilemann, Peter Morjan, Blake Fitch, Ralph Bellofatto, Bernard Metzler, Peter Kaltstein, Lars Schneidenbach

Scientific workflows are often composed of compute-intensive simulations and data-intensive analysis and visualization, both equally important for productivity. High-performance computers run the compute-intensive phases efficiently, but data-intensive pro ...

Ieee2016

Structural to functional synaptic conversion

Henry Markram, Felix Schürmann, James Gonzalo King, Sean Lewis Hill, Eilif Benjamin Muller, Michael Reimann

Computer-implemented methods, software, and systems for determining functional synapses from given structural touches between cells in a neuronal circuit are described. One computer-implemented method for determining functional synapses from predetermined ...

Technology Transfer Office EPFL2015

Physically-based in silico light sheet microscopy for visualizing fluorescent brain models

Henry Markram, Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Ahmet Bilgili, Stefan Eilemann

We present a physically-based computational model of the light sheet fluorescence microscope (LSFM). Based on Monte Carlo ray tracing and geometric optics, our method simulates the operational aspects and image formation process of the LSFM. This simulated ...

BioMed Central2015

Reconstruction and Simulation of Neocortical Microcircuitry

Nenad Buncic, Jean-Vincent Le Bé, Selim Arsever, Henry Markram, Gilad Silberberg, Sébastien Lasserre, Vincent Delattre, Raphael Dumusc, Rodrigo de Campos Perin, Imad Riachi, Thomas Berger, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Michael Lee Hines, Sean Lewis Hill, Juan Bautista Hernando Vieites, Georges Khazen, Shruti Muralidhar, Anastasia Ailamaki, Eilif Benjamin Muller, Farhan Tauheed, Jean Pierre Ghobril, Julie Meystre, Daniel Keller, Idan Segev, Michael Reimann, Thomas Heinis, John Richard Walker, Martin Telefont, Yun Wang, Ying Shi, Joseph William Graham, Marwan Muhammad Ahmed Abdellah, Julian Charles Shillcock, Jean-Denis Georges Emile Courcol, Ahmet Bilgili, Werner Alfons Hilda Van Geit, Athanassia Chalimourda, , , , , , , , , , , , , , , , , , , , , , , , , , , ,

An Exclusion Zone for Ca2+ Channels around Docked Vesicles Explains Release Control by Multiple Channels at a CNS Synapse

Henry Markram, Ralf Schneggenburger, Felix Schürmann, Yunyun Han, Olexiy Kochubey, Daniel Keller, Zsolt Norbert Babai

The spatial arrangement of Ca2+ channels and vesicles remains unknown for most CNS synapses, despite of the crucial importance of this geometrical parameter for the Ca2+ control of transmitter release. At a large model synapse, the calyx of Held, transmitt ...

Public Library Science2015

Nix based fully automated workflows and ecosystem to guarantee scientific result reproducibility across software environments and systems

Felix Schürmann

Reproducibility is a key requirement to scientific development. Any scientific process, including software simulations, must be able to be replicated in order to prove the robustness of its process and the validity of its results. If an approach based on t ...

Association for Computing Machinery2015

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex

Selim Arsever, Henry Markram, Raphael Dumusc, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Sean Lewis Hill, Juan Bautista Hernando Vieites, Eilif Benjamin Muller, Daniel Keller, Idan Segev, Michael Reimann, John Richard Walker, Martin Telefont, Yun Wang, Ying Shi, Joseph William Graham, Marwan Muhammad Ahmed Abdellah, Julian Charles Shillcock, Jean-Denis Georges Emile Courcol, Ahmet Bilgili, Werner Alfons Hilda Van Geit, Athanassia Chalimourda, Stefan Eilemann, Guy Antoine Atenekeng Kahou, Jeffrey Christopher Muller, Lida Kanari, Stefano Zaninetta, Giuseppe Chindemi, Jafet Villafranca Diaz, Yury Brukau, Michael Emiel Gevaert, Stanislaw Ryszard Adaszewski, Nicolas Antille

We have established a multi-constraint, data-driven process to digitally reconstruct, and simulate prototypical neocortical microcircuitry, using sparse experimental data. We applied this process to reconstruct the microcircuitry of the somatosensory corte ...

2015

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Keerthan Muthurasa

Stefan Eilemann

Guy Antoine Atenekeng Kahou

Jeffrey Christopher Muller

Carlos Aguado Sanchez

Jafet Villafranca Diaz

Aleksandr Ovcharenko

Juan Luis Riquelme Roman

Benjamin Roy Morrice

James Alexander Dynes

Michael Emiel Gevaert

Juan Pablo Palacios

Pramod Shivaji Kumbhar

Ricardo Manuel Salgueiro Domingues Da Silva

Max Christian Nolte

Zoltan Kisvarday

Nicolas Antille

Lidia Alonso-Nanclares

Taylor Howard Newton

Alberto Munoz Cespedes

Anirudh Gupta

Michael John Kenyon

We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse ex ...

Elsevier2015

Frontiers Research Foundation