title: Self-organized criticality in a simple model of neurons based on small-world networks.
abstract: A simple model for a set of interacting idealized neurons with small-world structure is introduced. The basic elements of the model are endowed with the main features of a neuron function. We find that our model displays power-law behavior of avalanche sizes and generates long-range temporal correlations and 1/f noise. More importantly, we find there are different avalanche dynamical behaviors for different phi, the density of short paths in the network.
authors.affiliation: Department of Physics, Nankai University, Tianjin 300071, People's Republic of China. linminmin@eyou.com
authors.forename: Min
authors.initials: M
authors.lastname: Lin
authors.forename: TianLun
authors.initials: T
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000473:pathology; D017173:Caenorhabditis elegans; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net; D009474:Neurons / Q000502:physiology*; D013997:Time Factors