Dynamic range of hypercubic stochastic excitable media

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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.
7 pages, 4 figures

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Neurons and Cognition, Disordered Systems and Neural Networks, Statistical Mechanics, Cellular Automata and Lattice Gases, Biological Physics

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http://salesiana.dossiersoluciones.com/handle/123456789/154610

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0707.0309
 http://arxiv.org/abs/0707.0309
 Phys. Rev. E 77, 011923 (2008)
 doi:10.1103/PhysRevE.77.011923

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arXiv