Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Rubido, Nicolás"'
Autor:
Gancio, Juan, Rubido, Nicolás
Coupled Map Lattice (CML) models are particularly suitable to study spatially extended behaviours, such as wave-like patterns, spatio-temporal chaos, and synchronisation. Complete synchronisation in CMLs emerges when all maps have their state variabl
Externí odkaz:
http://arxiv.org/abs/2201.07633
Autor:
Hernandez, Hernan, Baez, Sandra, Medel, Vicente, Moguilner, Sebastian, Cuadros, Jhosmary, Santamaria-Garcia, Hernando, Tagliazucchi, Enzo, Valdes-Sosa, Pedro A., Lopera, Francisco, OchoaGómez, John Fredy, González-Hernández, Alfredis, Bonilla-Santos, Jasmin, Gonzalez-Montealegre, Rodrigo A., Aktürk, Tuba, Yıldırım, Ebru, Anghinah, Renato, Legaz, Agustina, Fittipaldi, Sol, Yener, Görsev G., Escudero, Javier, Babiloni, Claudio, Lopez, Susanna, Whelan, Robert, Lucas, Alberto A Fernández, García, Adolfo M., Huepe, David, Caterina, Gaetano Di, Soto-Añari, Marcio, Birba, Agustina, Sainz-Ballesteros, Agustin, Coronel, Carlos, Herrera, Eduar, Abasolo, Daniel, Kilborn, Kerry, Rubido, Nicolás, Clark, Ruaridh, Herzog, Ruben, Yerlikaya, Deniz, Güntekin, Bahar, Parra, Mario A., Prado, Pavel, Ibanez, Agustin
Publikováno v:
In NeuroImage 15 July 2024 295
Autor:
Gancio, Juan, Rubido, Nicolás
Heterogeneity characterises real-world networks, where nodes show a broad range of different topological features. However, nodes also tend to organise into communities -- subsets of nodes that are sparsely inter-connected but are densely intra-conne
Externí odkaz:
http://arxiv.org/abs/2111.04438
Autor:
Gancio, Juan, Rubido, Nicolás
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena January 2024 178
Initially, the logistic map became popular as a simplified model for population growth. In spite of its apparent simplicity, as the population growth-rate is increased the map exhibits a broad range of dynamics, which include bifurcation cascades goi
Externí odkaz:
http://arxiv.org/abs/2006.11378
There are different measures to classify a network's data set that, depending on the problem, have different success. For example, the resistance distance and eigenvector centrality measures have been successful in revealing ecological pathways and d
Externí odkaz:
http://arxiv.org/abs/2005.00452
A main goal in the analysis of a complex system is to infer its underlying network structure from time-series observations of its behaviour. The inference process is often done by using bi-variate similarity measures, such as the cross-correlation (C
Externí odkaz:
http://arxiv.org/abs/1909.01437
Autor:
Rubido, Nicolas, Masoller, Cristina
Extracting useful information from data is a fundamental challenge across disciplines as diverse as climate, neuroscience, genetics, and ecology. In the era of ``big data'', data is ubiquitous, but appropriated methods are needed for gaining reliable
Externí odkaz:
http://arxiv.org/abs/1807.09636
Publikováno v:
In Applied Mathematics and Computation 15 October 2022 431