Publications by Felix Schürmann

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy

Kathryn Hess Bellwald, Henry Markram, Felix Schürmann, James Gonzalo King, Srikanth Ramaswamy, Juan Bautista Hernando Vieites, Alexis Arnaudon, Eilif Benjamin Muller, Daniel Keller, Michael Reimann, Huanxiang Lu, Ying Shi, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Lida Kanari, Juan Luis Riquelme Roman, Ran Levi, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Liesbeth Maria L Vanherpe, Armando Romani, Cyrille Pierre Henri Favreau, Judit Planas Carbonell, Adrien Michel Achille Devresse, András Ecker, Nicolas René Jean Ninin, Daniela Egas Santander, Alexander Dietz, Benoît Jean-Albert Coste, Samuel Lieven D. Lapere, Matthias Wolf, Sirio Bolaños Puchet, Hugo Thabo Dictus, Thomas Brice Delemontex, James Bryden Isbister, Janis Lazovskis, Gianluca Ficarelli, Joni Henrikki Herttuainen,

Enhancement of brain atlases with region-specific coordinate systems: flatmaps and barrel column annotations

Felix Schürmann, Juan Bautista Hernando Vieites, Michael Reimann, Huanxiang Lu, Armando Romani, Sirio Bolaños Puchet, Aleksandra Zuzanna Teska

Digital brain atlases define a hierarchy of brain regions and their locations in three-dimensional space. They provide a standard coordinate system in which diverse datasets can be integrated for visualization and analysis. They also enable building of dat ...

2024

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Henry Markram, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Alexis Arnaudon, Eilif Benjamin Muller, Daniel Keller, Michael Reimann, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Armando Romani, Christian Andreas Rössert, Judit Planas Carbonell, Genrich Ivaska, András Ecker, Daniela Egas Santander, Natali Barros Zulaica, Alexander Dietz, Omar Awile, Samuel Lieven D. Lapere, Matthias Wolf, Sirio Bolaños Puchet, Thomas Brice Delemontex, Jorge Blanco Alonso, Mustafa Anil Tuncel, Tanguy Pierre Louis Damart, Maria Reva, James Bryden Isbister, Darshan Mandge, Weina Ji, Aleksandra Zuzanna Teska, Polina Litvak, Gianluca Ficarelli, Joni Henrikki Herttuainen, ,

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus

Henry Markram, Felix Schürmann, James Gonzalo King, Srikanth Ramaswamy, Juan Bautista Hernando Vieites, Alexis Arnaudon, Eilif Benjamin Muller, Michael Reimann, Huanxiang Lu, Ying Shi, Marwan Muhammad Ahmed Abdellah, Vishal Sood, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Lida Kanari, Juan Luis Riquelme Roman, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Liesbeth Maria L Vanherpe, Armando Romani, Cyrille Pierre Henri Favreau, Michele Migliore, Mohameth François Sy, Szabolcs Kali, Judit Planas Carbonell, Genrich Ivaska, Sàra Sàray, Carmen Alina Lupascu, Rosanna Migliore, Audrey Mercer, András Ecker, Alberto Antonietti, Cristina Colangelo, Anna-Kristin Kaufmann, Julian Martin Budd, Elisabetta Giacalone, Thomas Brice Delemontex, Davide Bella, Fabien Petitjean, , , , ,

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, Eleftherios Zisis, Jay Coggan, Juan José García Cantero, Alessandro Enrico Foni, Nadir Roman Guerrero

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

Simulating Temporal Interference Stimulation

Henry Markram, Felix Schürmann, Michael Reimann

SPRINGER2023

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

Felix Schürmann, Armando Romani, Michele Migliore, Luca Leonardo Bologna

To build biophysically detailed models of brain cells, circuits, and regions, a data-driven approach is increasingly being adopted. This helps to obtain a simulated activity that reproduces the experimentally recorded neural dynamics as faithfully as possi ...

2023

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Felix Schürmann, Pramod Shivaji Kumbhar, Snehal Pramod Kumbhar, Omar Awile, Ioannis Magkanaris

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute

Felix Schürmann, Omar Awile

2023

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

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

Felix Schürmann, James Gonzalo King, Pramod Shivaji Kumbhar, 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

Computational Concepts for Reconstructing and Simulating Brain Tissue

Felix Schürmann, Srikanth Ramaswamy, Jean-Denis Georges Emile Courcol

It has previously been shown that it is possible to derive a new class of biophysically detailed brain tissue models when one computationally analyzes and exploits the interdependencies or the multi-modal and multi-scale organization of the brain. These re ...

Springer2022

STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale

Felix Schürmann, James Gonzalo King, Christos Kotsalos, Pramod Shivaji Kumbhar, Iain Hepburn, Weiliang Chen, Tristan Mathieu Carel, Samuel Marie A Melchior, Omar Awile, Baudouin Paul Michel Maria Joseph Del Marmol, Alessandro Cattabiani, Giacomo Castiglioni, Nicola Cantarutti

Recent advances in computational neuroscience have demonstrated the usefulness and importance of stochastic, spatial reaction-diffusion simulations. However, ever increasing model complexity renders traditional serial solvers, as well as naive parallel imp ...

FRONTIERS MEDIA SA2022

EBRAINS Live Papers-Interactive Resource Sheets for Computational Studies in Neuroscience

Felix Schürmann

We present here an online platform for sharing resources underlying publications in neuroscience. It enables authors to easily upload and distribute digital resources, such as data, code, and notebooks, in a structured and systematic way. Interactivity is ...

HUMANA PRESS INC2022

Representing stimulus information in an energy metabolism pathway

Henry Markram, Felix Schürmann, Daniel Keller, Jay Coggan

We explored a computational model of astrocytic energy metabolism and demonstrated the theoretical plausibility that this type of pathway might be capable of coding information about stimuli in addition to its known functions in cellular energy and carbon ...

2022

Reconstruction of the Hippocampus

Henry Markram, Felix Schürmann, Armando Romani, Michele Migliore

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

Meshing of Spiny Neuronal Morphologies using Union Operators

Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Juan José García Cantero, Alessandro Enrico Foni, Nadir Roman Guerrero, Elvis Boci

Neurons are characterized by thin and long interleaving arborizations in which creating accurate mesh models of their cellular membranes is challenging. While union operators are central for CAD/CAM modeling and computer graphics applications, their applic ...

2022

Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations

Henry Markram, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Eleftherios Zisis, Jay Coggan, Samuel Lieven D. Lapere, Alessandro Enrico Foni, Nadir Roman Guerrero

Motivation: Astrocytes, the most abundant glial cells in the mammalian brain, have an instrumental role in developing neuronal circuits. They contribute to the physical structuring of the brain, modulating synaptic activity and maintaining the blood-brain ...

OXFORD UNIV PRESS2021

ARC: An Open Web-Platform for Request/Supply Matching for a Prioritized and Controlled COVID-19 Response

Henry Markram, Felix Schürmann, Jean-Denis Georges Emile Courcol

In 2020 the world was hit by the COVID-19 pandemic putting entire governments and civil societies in crisis mode. Around the globe unprecedented shortages of equipment and qualified personnel were reported in hospitals and diagnostic laboratories. When a c ...

FRONTIERS MEDIA SA2021

The Role of Hub Neurons in Modulating Cortical Dynamics

Henry Markram, Felix Schürmann, Idan Segev, Eyal Gal, Oren Amsalem, Michael London

Many neurodegenerative diseases are associated with the death of specific neuron types in particular brain regions. What makes the death of specific neuron types particularly harmful for the integrity and dynamics of the respective network is not well unde ...

2021