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Paper novo nas mãos dos referees do PRL

Self-Organized Criticality and Neuronal Avalanches in SIRS Networks with Depressing Synapses

Neuronal networks can present activity described by power-law distributed avalanches presumed to be a signature of a critical state. Here we study a random-neighbor network of excitable (SIRS) cellular automata coupled by dynamical (depressing) synapses that exhibits bona ?de self-organized criticality (SOC) even with dissipative bulk dynamics. This occurs because in the stationary regime the model is conservative on average and in the thermodynamic limit the probability distribution for the global branching ratio converges to a delta-function centered at its critical value. Analytical results show perfect agreement with annealed simulations of the model and enable us to study the emergence of SOC as a function of the parametric derivatives of the stationary branching ratio.

Comments: 4 pages, 5 figures
Subjects: Adaptation and Self-Organizing Systems (nlin.AO); Statistical Mechanics (cond-mat.stat-mech)
Cite as: arXiv:1405.7740 [nlin.AO]
(or arXiv:1405.7740v1 [nlin.AO] for this version)
Posted in Avalanches neuronais, Física, Meus papers, SOC, Vida científica

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