Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Gabriel Baglietto"'
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0174918 (2017)
Two, partially interwoven, hot topics in the analysis and statistical modeling of neural data, are the development of efficient and informative representations of the time series derived from multiple neural recordings, and the extraction of informat
Externí odkaz:
https://doaj.org/article/c832a393c6e64d0dac1cb78f220ee540
Publikováno v:
Physical Review E. 104
We study a model for the collective behavior of self-propelled particles subject to pairwise copying interactions and noise. Particles move at a constant speed $v$ on a two--dimensional space and, in a single step of the dynamics, each particle adopt
Publikováno v:
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Communications Physics, Vol 4, Iss 1, Pp 1-11 (2021)
Universidad Nacional de La Plata
instacron:UNLP
Communications Physics, Vol 4, Iss 1, Pp 1-11 (2021)
Ising models on a pyrochlore oxide lattice have become associated with spin ice materials and magnetic monopoles. Ever more often, effects connecting magnetic and elastic degrees of freedom are reported on these and other related frustrated materials
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f986e3813bd41f0d686eeeb4628c1c89
http://sedici.unlp.edu.ar/handle/10915/118960
http://sedici.unlp.edu.ar/handle/10915/118960
Publikováno v:
Physical review. E. 101(6-1)
In recent years situations where elsewise identical particles demix when different degrees of freedom do not thermalize have become a research focus in nonequilibrium statistical mechanics. The majority of these models are formulated in the context o
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
The voter model with multiple states has found applications in areas as diverse as population genetics, opinion formation, species competition and language dynamics, among others. In a single step of the dynamics, an individual chosen at random copie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd05668a35d2cc32ce6e4872642a32d4
http://arxiv.org/abs/1902.07253
http://arxiv.org/abs/1902.07253
We study the temporal correlations in the evolution of the order parameter ϕt for the Vicsek model with vectorial noise by estimating its Hurst exponent H with detrended fluctuation analysis (DFA). We present results on this parameter as a function
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe02d26ab8adc5e778896987af0aac95
https://www.sciencedirect.com/science/article/pii/S0378437118301808
https://www.sciencedirect.com/science/article/pii/S0378437118301808
Autor:
Federico Vazquez, Gabriel Baglietto
We study the collective motion of a large set of self-propelled particles subject to voter-like interactions. Each particle moves on a two-dimensional space at a constant speed in a direction that is randomly assigned initially. Then, at every step o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da184c9cac07464c441ed0fbc09b3f31
https://iopscience.iop.org/article/10.1088/1742-5468/aaac3e
https://iopscience.iop.org/article/10.1088/1742-5468/aaac3e
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
The standard Vicsek model (SVM) is a minimal non-equilibrium model of self-propelled particles that appears to capture the essential ingredients of critical flocking phenomena. In the SVM, particles tend to align with each other and form ordered floc
Autor:
Ezequiel V. Albano, Gabriel Baglietto
Publikováno v:
Computer Physics Communications. 180:527-531
We report extensive computer simulations of the Vicsek model [V.M. Vicsek, et al., Phys. Rev. Lett. 75 (1995) 1226], aimed to describe the onset of ordering within the low-velocity regime of the collective displacement of self-driven agents. The VM a
Autor:
Ezequiel V. Albano, Gabriel Baglietto
Publikováno v:
International Journal of Modern Physics C. 17:395-402
A model for the displacement of self-driven organisms is studied by means of extensive computer simulations. Local interactions influenced by noisy communications among organisms, leads to the onset of collective motion at low noise levels. When the