Publications de Alexis Arnaudon

Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks

Kathryn Hess Bellwald, Henry Markram, Rodrigo de Campos Perin, Alexis Arnaudon, Julie Meystre, Maurizio Ferdinando Pezzoli, Ying Shi, Lida Kanari, Natali Barros Zulaica

The organizational principles that distinguish the human brain from other species have been a long-standing enigma in neuroscience. Focusing on the uniquely evolved human cortical layers 2 and 3, we computationally reconstruct the cortical architecture for ...

2025

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,

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, , , , ,

Designed Semiconductor Network Random Lasers

Kirsten Emilie Moselund, Alexis Arnaudon

Conventional lasers typically support a well‐defined comb of modes. Coupling many resonators together to form larger complex cavities enables the design of the spatial and spectral distribution of modes, for sensitive and controllable on‐chip light sources ...

Wiley2024

A unified framework for Simplicial Kuramoto models

Alexis Arnaudon

Simplicial Kuramoto models have emerged as a diverse and intriguing class of models describing oscillators on simplices rather than nodes. In this paper, we present a unified framework to describe different variants of these models, categorized into three ...

2024

A universal workflow for creation, validation and generalization of detailed neuronal models

Henry Markram, Srikanth Ramaswamy, Alexis Arnaudon, Werner Alfons Hilda Van Geit, Christian Andreas Rössert, Mustafa Anil Tuncel, Tanguy Pierre Louis Damart, Maria Reva, Darshan Mandge

Detailed single neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex is vast, most of the available computational tools are dedicated to the reproduction of a small set of specific ...

Cambridge2023

Controlling morpho-electrophysiological variability of neurons with detailed models

Henry Markram, Alexis Arnaudon, Werner Alfons Hilda Van Geit, Lida Kanari, Maria Reva, Mickael Maurice Zbili

Variability, which is known to be a universal feature among biological units such as neuronal cells, holds significant importance, as, for example, it enables a robust encoding of a high volume of information in neuronal circuits and prevents hypersynchron ...

Cell Press2023

Computational synthesis of cortical dendritic morphologies

Kathryn Hess Bellwald, Henry Markram, Alexis Arnaudon, Julian Charles Shillcock, Werner Alfons Hilda Van Geit, Lida Kanari, Benoît Jean-Albert Coste, Hugo Thabo Dictus

Neuronal morphologies provide the foundation for the electrical behavior of neurons, the connectomes they form, and the dynamical properties of the brain. Comprehensive neuron models are essential for defining cell types, discerning their functional roles, ...

CELL PRESS2022

Relative, local and global dimension in complex networks

Alexis Arnaudon

Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and distorted by inhomogenei ...

Nature Portfolio2022

Sensitivity and spectral control of network lasers

Alexis Arnaudon, Dinika Saxena

Recently, random lasing in complex networks has shown efficient lasing over more than 50 localised modes, promoted by multiple scattering over the underlying graph. If controlled, these network lasers can lead to fast-switching multifunctional light source ...

Nature Portfolio2022

Connecting Hodge and Sakaguchi-Kuramoto through a mathematical framework for coupled oscillators on simplicial complexes

Alexis Arnaudon

Phase synchronizations in models of coupled oscillators such as the Kuramoto model have been widely studied with pairwise couplings on arbitrary topologies, showing many unexpected dynamical behaviors. Here, based on a recent formulation the Kuramoto model ...

NATURE PORTFOLIO2022

HCGA: Highly comparative graph analysis for network phenotyping

Alexis Arnaudon, Nathan Rafaël Bernier

Networks are widely used as mathematical models of complex systems across many scientific disciplines. Decades of work have produced a vast corpus of research characterizing the topological, combinatorial, statistical, and spectral properties of graphs. Ea ...

ELSEVIER2021

Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature

Alexis Arnaudon, Adám Gosztolai

Describing networks geometrically through low-dimensional latent metric spaces has helped design efficient learning algorithms, unveil network symmetries and study dynamical network processes. However, latent space embeddings are limited to specific classe ...

Nature Portfolio2021

Digital Reconstruction of the Neuro-Glia-Vascular Architecture

Kathryn Hess Bellwald, Henry Markram, Felix Schürmann, Corrado Cali, Alexis Arnaudon, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Lida Kanari, Eleftherios Zisis, Michael Emiel Gevaert, Benoît Jean-Albert Coste, Thomas Brice Delemontex, Alessandro Enrico Foni

Astrocytes connect the vasculature to neurons mediating the supply of nutrients and biochemicals. They are involved in a growing number of physiological and pathophysiological processes that result from biophysical, physiological, and molecular interaction ...

OXFORD UNIV PRESS INC2021

Scale-dependent measure of network centrality from diffusion dynamics

Alexis Arnaudon

Classic measures of graph centrality capture distinct aspects of node importance, from the local (e.g., degree) to the global (e.g., closeness). Here we exploit the connection between diffusion and geometry to introduce a multiscale centrality measure. A n ...

AMER PHYSICAL SOC2020

Computational issues in chemo-dynamical modelling of the formation and evolution of galaxies

Yves Revaz, Pascale Jablonka, Alexis Arnaudon, Vivien François Bonvin, Matthew Luke Nichols

Chemo-dynamical N-body simulations are an essential tool for understanding the formation and evolution of galaxies. As the number of observationally determined stellar abundances continues to climb, these simulations are able to provide new constraints on ...

EDP Sciences2016