V
Víctor M. Eguíluz
Researcher at Spanish National Research Council
Publications - 211
Citations - 13317
Víctor M. Eguíluz is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Voter model & Population. The author has an hindex of 50, co-authored 204 publications receiving 11568 citations. Previous affiliations of Víctor M. Eguíluz include University of Wisconsin–Milwaukee & King Abdullah University of Science and Technology.
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Scale-Free Brain Functional Networks
TL;DR: Analysis of the resulting networks in different tasks shows that the distribution of functional connections, and the probability of finding a link versus distance are both scale-free and the characteristic path length is small and comparable with those of equivalent random networks.
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Coevolution of dynamical states and interactions in dynamic networks.
TL;DR: The coupled dynamics of the internal states of a set of interacting elements and the network of interactions among them and the formation of a hierarchical interaction network that sustains a highly cooperative stationary state are explored.
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The Arctic Ocean as a dead end for floating plastics in the North Atlantic branch of the Thermohaline Circulation
Andrés Cózar,Elisa Martí,Carlos M. Duarte,Carlos M. Duarte,Juan García-de-Lomas,Erik van Sebille,Erik van Sebille,Thomas J. Ballatore,Víctor M. Eguíluz,J. Ignacio González-Gordillo,Maria Luiza Pedrotti,Fidel Echevarría,Romain Troublé,Xabier Irigoien +13 more
TL;DR: The seafloor beneath this Arctic sector is hypothesized as an important sink of plastic debris given the limited surface transport of the plastic that accumulated here and the mechanisms acting for the downward transport, which would be a dead end for this plastic conveyor belt.
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Essential nonlinearities in hearing.
Víctor M. Eguíluz,Víctor M. Eguíluz,Mark Ospeck,Mark Ospeck,Y. Choe,A. J. Hudspeth,A. J. Hudspeth,Marcelo O. Magnasco +7 more
TL;DR: The hearing organ evidently poises itself at a Hopf bifurcation to maximize tuning and amplification, and several effects are expected to be generic: compression of the dynamic range, infinitely sharp tuning at zero input, and generation of combination tones.
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Highly clustered scale-free networks.
TL;DR: The model shows stylized features of real-world networks: power-law distribution of degree, linear preferential attachment of new links, and a negative correlation between the age of a node and its link attachment rate.