Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Gilson, Matthieu"'
Autor:
Gilson, Matthieu, Zamora-López, Gorka, Pallarés, Vicente, Adhikari, Mohit H., Senden, Mario, Campo, Adrià Tauste, Mantini, Dante, Corbetta, Maurizio, Deco, Gustavo, Insabato, Andrea
Publikováno v:
Network Neuroscience, Vol 4, Iss 2, Pp 338-373 (2020)
Neuroimaging techniques are now widely used to study human cognition. The functional associations between brain areas have become a standard proxy to describe how cognitive processes are distributed across the brain network. Among the many analysis t
Externí odkaz:
https://doaj.org/article/f86a29d962484ed3a155242a4172345a
Autor:
Zamora-López, Gorka, Gilson, Matthieu
Publikováno v:
Chaos 34, 041501 (2024)
Built upon the shoulders of graph theory, the field of complex networks has become a central tool for studying real systems across various fields of research. Represented as graphs, different systems can be studied using the same analysis methods, wh
Externí odkaz:
http://arxiv.org/abs/2307.02449
Neuronal systems need to process temporal signals. We here show how higher-order temporal (co-)fluctuations can be employed to represent and process information. Concretely, we demonstrate that a simple biologically inspired feedforward neuronal mode
Externí odkaz:
http://arxiv.org/abs/2301.10203
Consciousness is supported by complex patterns of brain activity which are indicative of irreversible non-equilibrium dynamics. While the framework of stochastic thermodynamics has facilitated the understanding of physical systems of this kind, its a
Externí odkaz:
http://arxiv.org/abs/2207.05197
Autor:
Vila-Vidal, Manel, Craven-Bartle Corominas, Ferran, Gilson, Matthieu, Zucca, Riccardo, Principe, Alessandro, Rocamora, Rodrigo, Deco, Gustavo, Tauste Campo, Adrià
Publikováno v:
In Journal of Neuroscience Methods November 2024 411
Autor:
Gilson, Matthieu
My thesis focuses on the risk-taking behavior of financial agents, aiming particularlyat better understanding how risk attitudes can change over time. It alsoexplores the implications that these changes have on financial markets, and on theeconomy as
Autor:
Nestler, Sandra, Keup, Christian, Dahmen, David, Gilson, Matthieu, Rauhut, Holger, Helias, Moritz
Publikováno v:
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 17380--17390
Cortical networks are strongly recurrent, and neurons have intrinsic temporal dynamics. This sets them apart from deep feed-forward networks. Despite the tremendous progress in the application of feed-forward networks and their theoretical understand
Externí odkaz:
http://arxiv.org/abs/2010.06247
Publikováno v:
Journal of Physics A: Mathematical and Theoretical 53 (2020) 354002
The classical perceptron is a simple neural network that performs a binary classification by a linear mapping between static inputs and outputs and application of a threshold. For small inputs, neural networks in a stationary state also perform an ef
Externí odkaz:
http://arxiv.org/abs/1912.00824
Autor:
Gilson, Matthieu, Pfister, Jean-Pascal
The present paper provides exact mathematical expressions for the high-order moments of spiking activity in a recurrently-connected network of linear Hawkes processes. It extends previous studies that have explored the case of a (linear) Hawkes netwo
Externí odkaz:
http://arxiv.org/abs/1810.09520
Estimation of reliable whole-brain connectivity is a crucial step towards the use of connectivity information in quantitative approaches to the study of neuropsychiatric disorders. When estimating brain connectivity a challenge is imposed by the pauc
Externí odkaz:
http://arxiv.org/abs/1805.10050