Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Alexis Arnaudon"'
Autor:
Maria Reva, Christian Rössert, Alexis Arnaudon, Tanguy Damart, Darshan Mandge, Anıl Tuncel, Srikanth Ramaswamy, Henry Markram, Werner Van Geit
Publikováno v:
Patterns, Vol 4, Iss 11, Pp 100855- (2023)
Summary: 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 focus on a limited set of specific features ch
Externí odkaz:
https://doaj.org/article/4f3947cee3a24bc6a2299b166f009caf
Publikováno v:
iScience, Vol 26, Iss 11, Pp 108222- (2023)
Summary: 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 prevent
Externí odkaz:
https://doaj.org/article/ddf5a88df5904236b4d2a8df53d67fc8
Autor:
Dhruv Saxena, Alexis Arnaudon, Oscar Cipolato, Michele Gaio, Alain Quentel, Sophia Yaliraki, Dario Pisignano, Andrea Camposeo, Mauricio Barahona, Riccardo Sapienza
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-7 (2022)
Nanophotonic light sources with programmable emission spectrum are important building blocks for integrated photonics, sensing and optical computing. Here the authors tune the complex laser spectrum of a network laser achieving selective lasing of a
Externí odkaz:
https://doaj.org/article/a1a7a75db09b4a9db826499e5544c3f8
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-12 (2022)
Synchronization dynamics in the presence of higher order interactions is well represented through variations of the Kuramoto model and subject of current interest. Here, the authors study and characterize the behavior of the simplicial Kuramoto model
Externí odkaz:
https://doaj.org/article/c8a61d95df604f1787c204adfbe7e619
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Defining the dimension in bounded, inhomogeneous or discrete physical systems may be challenging. The authors introduce here a dynamics-based notion of dimension by analysing diffusive processes in space, relevant for non-ideal physical systems and n
Externí odkaz:
https://doaj.org/article/487995d784d04fb1b1c77728c12c2813
Autor:
Adam Gosztolai, Alexis Arnaudon
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
The analysis of networks and network processes can require low-dimensional representations, possible for specific structures only. The authors propose a geometric formalism which allows to unfold the mechanisms of dynamical processes propagation in v
Externí odkaz:
https://doaj.org/article/fed1b63a075347f5926d4c59c9363d26
Autor:
Lida Kanari, Hugo Dictus, Athanassia Chalimourda, Alexis Arnaudon, Werner Van Geit, Benoit Coste, Julian Shillcock, Kathryn Hess, Henry Markram
Publikováno v:
Cell Reports, Vol 39, Iss 1, Pp 110586- (2022)
Summary: 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 fu
Externí odkaz:
https://doaj.org/article/28d05119d0a54a9c886a85613c60095e
Publikováno v:
Physical Review Research, Vol 2, Iss 3, p 033104 (2020)
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 measur
Externí odkaz:
https://doaj.org/article/a63d60114e3a4fba9f1f98ec2fb1f253
Community-based Reconstruction and Simulation of a Full-scale Model of Region CA1 of Rat Hippocampus
Autor:
Armando Romani, Alberto Antonietti, Davide Bella, Julian Budd, Elisabetta Giacalone, Kerem Kurban, Sára Sáray, Marwan Abdellah, Alexis Arnaudon, Elvis Boci, Cristina Colangelo, Jean-Denis Courcol, Thomas Delemontex, András Ecker, Joanne Falck, Cyrille Favreau, Michael Gevaert, Juan B. Hernando, Joni Herttuainen, Genrich Ivaska, Lida Kanari, Anna-Kristin Kaufmann, James Gonzalo King, Pramod Kumbhar, Sigrun Lange, Huanxiang Lu, Carmen Alina Lupascu, Rosanna Migliore, Fabien Petitjean, Judit Planas, Pranav Rai, Srikanth Ramaswamy, Michael W. Reimann, Juan Luis Riquelme, Nadir Román Guerrero, Ying Shi, Vishal Sood, Mohameth François Sy, Werner Van Geit, Liesbeth Vanherpe, Tamás F. Freund, Audrey Mercer, Eilif Muller, Felix Schürmann, Alex M. Thomson, Michele Migliore, Szabolcs Káli, Henry Markram
The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd3800f48705dad49baff5ad612097b
https://doi.org/10.1101/2023.05.17.541167
https://doi.org/10.1101/2023.05.17.541167
Publikováno v:
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030986605
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce6d6cdcf591d1ddb9fdf5c87c570268
https://doi.org/10.1007/978-3-030-98661-2_86
https://doi.org/10.1007/978-3-030-98661-2_86