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Felix Schürmann

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Related publications (82)

Page 3 of 5

Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate

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

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

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

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Sean Lewis Hill, Idan Segev, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, Werner Alfons Hilda Van Geit, Marwan Muhammad Ahmed Abdellah, James Gonzalo King, Lida Kanari, Julian Charles Shillcock, Ying Shi, Jean-Denis Georges Emile Courcol, Rajnish Ranjan, Juan Bautista Hernando Vieites, Stefan Eilemann, Michael Emiel Gevaert, Giuseppe Chindemi, Nicolas Antille, Jeffrey Christopher Muller, Ahmet Bilgili

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 ...

Frontiers Research Foundation2015

A Derived Positional Mapping of Inhibitory Subtypes in the Somatosensory Cortex

Henry Markram, Felix Schürmann, Daniel Keller, Olivier Burri, Romain Guiet, Julie Meystre

Obtaining a catalog of cell types is a fundamental building block for understanding the brain. The ideal classification of cell-types is based on the profile of molecules expressed by a cell, in particular, the profile of genes expressed. One strategy is, ...

2019

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

Stefano Maximiliano Antonel, Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Ying Shi, Jean-Denis Georges Emile Courcol, Armando Romani, Christian Andreas Rössert, Maurizio Ferdinando Pezzoli, Olivier Richard Hagens

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

An efficient analytical reduction of detailed nonlinear neuron models

Felix Schürmann, Idan Segev, Pramod Shivaji Kumbhar, Michael Emiel Gevaert

Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of these ...

Nature Research2020

Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors

Felix Schürmann

Neuron tree topology equations can be split into two subtrees and solved on different processors with no change in accuracy, stability, or computational effort; communication costs involve only sending and receiving two double precision values by each subt ...

2008

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

Reconstruction and Simulation of Neocortical Microcircuitry

Anastasia Ailamaki, Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Sean Lewis Hill, Idan Segev, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, Thomas Heinis, Werner Alfons Hilda Van Geit, Rodrigo de Campos Perin, Marwan Muhammad Ahmed Abdellah, James Gonzalo King, Lida Kanari, Farhan Tauheed, Julian Charles Shillcock, Pramod Shivaji Kumbhar, Gilad Silberberg, Ying Shi, Vincent Delattre, Jean-Denis Georges Emile Courcol, Rajnish Ranjan, Juan Bautista Hernando Vieites, Stefan Eilemann, Michael Emiel Gevaert, Giuseppe Chindemi, Jean-Vincent Le Bé, Julie Meystre, Taylor Howard Newton, Max Christian Nolte, Nicolas Antille, Georges Khazen, Sébastien Lasserre, Jean Pierre Ghobril, Jeffrey Christopher Muller, Aleksandr Ovcharenko, Shruti Muralidhar, Ahmet Bilgili, Daniel Nachbaur

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

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Felix Schürmann, James Gonzalo King, Pramod Shivaji Kumbhar, Omar Awile, Jorge Blanco Alonso

Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit domain knowledge for the generation of more efficient code on target architectures. Here, we describe a new c ...

Springer2020

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

Felix Schürmann, Stefan Eilemann, Alessandro Curioni, Peter Morjan, Blake Fitch, 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

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

Nicolas Pierre Jean Cornu, Alexandru Savulescu, Oliver James Lupton, Felix Schürmann, James Gonzalo King, Pramod Shivaji Kumbhar, Fernando Joaquim Leite Pereira, Omar Awile, Ioannis Magkanaris

The need for reproducible, credible, multiscale biological modeling has led to the development of standardized simulation platforms, such as the widely-used NEURON environment for computational neuroscience. Developing and maintaining NEURON over several d ...

2022

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience

Pierre Magistretti, Henry Markram, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Jay Coggan, Nadir Roman Guerrero, Alessandro Enrico Foni, Eleftherios Zisis, Juan José García Cantero

Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neurons and glia) ...

2023

Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations

James Gonzalo King, Felix Schürmann, Pramod Shivaji Kumbhar, Aleksandr Ovcharenko

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

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Felix Schürmann, Bruno Ricardo Da Cunha Magalhães

State-of-the-art simulations of detailed neurons follow the Bulk Synchronous Parallel execution model. Execution is divided in equidistant communication intervals, with parallel neurons interpolation and collective communication guiding synchronization. Su ...

2020

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

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

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

Reconstruction of the Hippocampus

Henry Markram, Felix Schürmann, Armando Romani

The hippocampus is a widely studied brain region thought to play an important role in higher cognitive functions such as learning, memory, and navigation. The amount of data on this region increases every day and delineates a complex and fragmented picture ...

Springer2022

High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions

Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Sébastien Nicolas Speierer, Alessandro Enrico Foni, Samuel Lieven D. Lapere, Jonas Kristofer Karlsson

We explore a first proof-of-concept application for visualizing large scale digitally reconstructed brain circuitry using signed distance functions. The significance of our method is demonstrated in comparison with using implicit geometry that is limited t ...

IEEE2019

Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer

Felix Schürmann

For neural network simulations on parallel machines, Interprocessor spike communication can be a significant portion of the total simulation time. The performance of several spike exchange methods using a Blue Gene/P (BG/P) supercomputer has been tested wi ...

2011

SCOUT: Prefetching for Latent Structure Following Queries

Anastasia Ailamaki, Henry Markram, Felix Schürmann, Thomas Heinis, Farhan Tauheed

Today's scientists are quickly moving from in vitro to in silico experimentation: they no longer analyze natural phenomena in a petri dish, but instead they build models and simulate them. Managing and analyzing the massive amounts of data involved in simu ...

2012

Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex

Henry Markram, Felix Schürmann, Lida Kanari, Natali Barros Zulaica

Synaptic transmission constitutes the primary mode of communication between neurons. It is extensively studied in rodent but not human neocortex. We characterized synaptic transmission between pyramidal neurons in layers 2 and 3 using neurosurgically resec ...

OXFORD UNIV PRESS INC2022