Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Grigera, Tomás S."'
Publikováno v:
Journal of Physics A: Mathematical and Theoretical, Volume 57, Number 41 (2024)
Experiments on bird flocks and midge swarms reveal that these natural systems are well described by an active theory in which conservation laws play a crucial role. By building a symplectic structure that couples the particles' velocities to the gene
Externí odkaz:
http://arxiv.org/abs/2403.07644
We present a mean field solution of the dynamics of a Greenberg-Hastings neural network with both excitatory and inhibitory units. We analyse the dynamical phase transitions that appear in the stationary state as the model parameters are varied. Anal
Externí odkaz:
http://arxiv.org/abs/2312.17645
Autor:
Carruitero, Sebastián, Duran, Alejo Costa, Pisegna, Giulia, Sturla, Mauricio B., Grigera, Tomás S.
Publikováno v:
Carruitero, S., Duran, A. C., Pisegna, G., Sturla, M. B., & Grigera, T. S. (2024). Inertial spin model of flocking with position-dependent forces. Physical Review E, 110(1), 014408
We propose an extension to the ISM of flocking and swarming. The model has been introduced to explain certain dynamic features of swarming (second sound, a lower than expected dynamic critical exponent) while preserving the mechanism for onset of ord
Externí odkaz:
http://arxiv.org/abs/2312.06368
Publikováno v:
Physical Review E 106, 054140 (2022)
While the support for the relevance of critical dynamics to brain function is increasing, there is much less agreement on the exact nature of the advocated critical point. Thus, a considerable number of theoretical efforts are currently concentrated
Externí odkaz:
http://arxiv.org/abs/2207.02320
Microorganisms self-organize in very large communities exhibiting complex fluctuations. Despite recent advances, still the mechanism by which these systems are able to exhibit large variability at the one hand and dynamical robustness on the other, i
Externí odkaz:
http://arxiv.org/abs/2206.12384
Autor:
Camargo, Sabrina, Martin, Daniel A., Trejo, Eyisto J. Aguilar, de Florian, Aylen, Nowak, Maciej A., Cannas, Sergio A., Grigera, Tomas S., Chialvo, Dante R.
Publikováno v:
Phys. Rev. E 108, 034302 (2023)
The advent of novel opto-genetics technology allows the recording of brain activity with a resolution never seen before. The characterisation of these very large data sets offers new challenges as well as unique theory-testing opportunities. Here we
Externí odkaz:
http://arxiv.org/abs/2206.07797
Autor:
Trejo, Eyisto J. Aguilar, Martin, Daniel A., De Zoysa, Dulara, Bowen, Zac, Grigera, Tomas S., Cannas, Sergio A., Losert, Wolfgang, Chialvo, Dante R.
Publikováno v:
Phys. Rev. E 106, 054313. Published 29 November 2022
In this article, a correlation metric $\kappa_C$ is proposed for the inference of the dynamical state of neuronal networks. $\kappa_C$ is computed from the scaling of the correlation length with the size of the observation region, which shows qualita
Externí odkaz:
http://arxiv.org/abs/2205.11341
We study the short-time dynamics (STD) of the Vicsek model with vector noise. The study of STD has proved to be very useful in the determination of the critical point, critical exponents, and spinodal points in equilibrium phase transitions. Here we
Externí odkaz:
http://arxiv.org/abs/2205.04436
Autor:
Acevedo, Santiago, Lamas, Carlos A., Duran, Alejo Costa, Sturla, Mauricio B., Grigera, Tomás S.
We study the so-called neural network flow of spin configurations in the 2-d Ising ferromagnet. This flow is generated by successive reconstructions of spin configurations, obtained by an artificial neural network like a restricted Boltzmann machine
Externí odkaz:
http://arxiv.org/abs/2203.06652
Publikováno v:
Phys. Rev. E 106, 054136, 14 November 2022
When studying the collective motion of biological groups a useful theoretical framework is that of ferromagnetic systems, in which the alignment interactions are a surrogate of the effective imitation among the individuals. In this context, the exper
Externí odkaz:
http://arxiv.org/abs/2202.04605