Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Clément Sire"'
Autor:
Tingting Xue, Xu Li, GuoZheng Lin, Ramón Escobedo, Zhangang Han, Xiaosong Chen, Clément Sire, Guy Theraulaz
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 11, p e1011636 (2023)
Schooling fish heavily rely on visual cues to interact with neighbors and avoid obstacles. The availability of sensory information is influenced by environmental conditions and changes in the physical environment that can alter the sensory environmen
Externí odkaz:
https://doaj.org/article/7380cd9125d74d1cb8280564482e11dd
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 3, p e1009437 (2022)
In moving animal groups, social interactions play a key role in the ability of individuals to achieve coordinated motion. However, a large number of environmental and cognitive factors are able to modulate the expression of these interactions and the
Externí odkaz:
https://doaj.org/article/66d72235b64b4cd491a423d3846e08e4
Autor:
Leonie van Steijn, Inge M N Wortel, Clément Sire, Loïc Dupré, Guy Theraulaz, Roeland M H Merks
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 2, p e1009156 (2022)
Lymphocytes have been described to perform different motility patterns such as Brownian random walks, persistent random walks, and Lévy walks. Depending on the conditions, such as confinement or the distribution of target cells, either Brownian or L
Externí odkaz:
https://doaj.org/article/d287ed4aded643598f220f86d6e0e51e
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 11, p e1009590 (2021)
Cognitive biases are widespread in humans and animals alike, and can sometimes be reinforced by social interactions. One prime bias in judgment and decision-making is the human tendency to underestimate large quantities. Previous research on social i
Externí odkaz:
https://doaj.org/article/72dcecf118b340ff842fc71de96455cb
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 3, p e1007194 (2020)
Coordinated motion and collective decision-making in fish schools result from complex interactions by which individuals integrate information about the behavior of their neighbors. However, little is known about how individuals integrate this informa
Externí odkaz:
https://doaj.org/article/5668523675194f21af3657913659925b
Autor:
Daniel S Calovi, Alexandra Litchinko, Valentin Lecheval, Ugo Lopez, Alfonso Pérez Escudero, Hugues Chaté, Clément Sire, Guy Theraulaz
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 1, p e1005933 (2018)
The development of tracking methods for automatically quantifying individual behavior and social interactions in animal groups has open up new perspectives for building quantitative and predictive models of collective behavior. In this work, we combi
Externí odkaz:
https://doaj.org/article/9994e699f249409abf99d882a676d20d
Autor:
Li Jiang, Luca Giuggioli, Andrea Perna, Ramón Escobedo, Valentin Lecheval, Clément Sire, Zhangang Han, Guy Theraulaz
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 11, p e1005822 (2017)
Schools of fish and flocks of birds can move together in synchrony and decide on new directions of movement in a seamless way. This is possible because group members constantly share directional information with their neighbors. Although detecting th
Externí odkaz:
https://doaj.org/article/7401ec71d0b043b284e209aba6b43c52
Publikováno v:
New Journal of Physics, Vol 16, Iss 1, p 015026 (2014)
We determine the basic phase diagram of the fish school model derived from data by Gautrais et al (2012 PLoS Comput. Biol. 8 e1002678), exploring its parameter space beyond the parameter values determined experimentally on groups of barred flagtails
Externí odkaz:
https://doaj.org/article/012e4a8ec88b4fbb91d7bc4a60ccc63d
Autor:
Thomas Bassanetti, Stéphane Cezera, Maxime Delacroix, Ramón Escobedo, Adrien Blanchet, Clément Sire, Guy Theraulaz
Stigmergy is a generic coordination mechanism widely used by animal societies, in which traces left by individuals in a medium guide and stimulate their subsequent actions. In humans, new forms of stigmergic processes have emerged through the develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c868c44d9308add1ac1132a53b91065a
https://doi.org/10.1101/2023.04.20.537511
https://doi.org/10.1101/2023.04.20.537511
Autor:
Vaios Papaspyros, Ramón Escobedo, Alexandre Alahi, Guy Theraulaz, Clément Sire, Francesco Mondada
Deciphering the social interactions that govern collective behavior in animal societies has greatly benefited from advancements in modern computing. Computational models diverge into two kinds of approaches: analytical models and machine learning mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95e2e6bde306083d52ac832a2e38c77a