Dynamic range of hypercubic stochastic excitable media
| dc.creator | Assis, Vladimir R. V. | |
| dc.creator | Copelli, Mauro | |
| dc.date | 2007-07-02 | |
| dc.date | 2008-02-13 | |
| dc.date.accessioned | 2026-07-07T09:20:03Z | |
| dc.date.available | 2026-07-07T09:20:03Z | |
| dc.description | We study the response properties of d-dimensional hypercubic excitable networks to a stochastic stimulus. Each site, modelled either by a three-state stochastic susceptible-infected-recovered-susceptible system or by the probabilistic Greenberg-Hastings cellular automaton, is continuously and independently stimulated by an external Poisson rate h. The response function (mean density of active sites rho versus h) is obtained via simulations (for d=1, 2, 3, 4) and mean field approximations at the single-site and pair levels (for all d). In any dimension, the dynamic range of the response function is maximized precisely at the nonequilibrium phase transition to self-sustained activity, in agreement with a reasoning recently proposed. Moreover, the maximum dynamic range attained at a given dimension d is a decreasing function of d. | |
| dc.description | 7 pages, 4 figures | |
| dc.identifier | https://arxiv.org/abs/0707.0309 | |
| dc.identifier | http://arxiv.org/abs/0707.0309 | |
| dc.identifier | Phys. Rev. E 77, 011923 (2008) | |
| dc.identifier | doi:10.1103/PhysRevE.77.011923 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/154610 | |
| dc.subject | Neurons and Cognition | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Cellular Automata and Lattice Gases | |
| dc.subject | Biological Physics | |
| dc.title | Dynamic range of hypercubic stochastic excitable media | |
| dc.type | text |