title: Window automata analysis of population dynamics in the immune system.
abstract: A formalism based on window automata is proposed as a method to analyse complex population dynamics. The method is applied to a model of the immune network (Weisbuch, G.et al., 1990.J. theor. Biol. 146, 483-499), and used to predict which attractor the system reaches after antigenic stimulation, as a function of the parameters. The attractors of the dynamics are interpreted in terms of immune conditions such as vaccination or tolerance. Scaling laws that define the regimes in the parameter space corresponding to the specific attractor reached under antigenic stimulation are derived.
authors: Laboratoire de Physique Statistique, Ecole Normale Supérieure, 24 rue Lhomond, 75231, Paris cedex 05, France, aun@frulm62.bitnet.
authors: A U
authors: AU
authors: Neumann
authors: G
authors: G
authors: Weisbuch
mesh_terms: D000465:Algorithms; D000818:Animals; D000941:Antigens / Q000276:immunology*; D006801:Humans; D007107:Immune System / Q000276:immunology*; D007113:Immunity, Innate / Q000276:immunology*; D007114:Immunization; D007156:Immunologic Memory / Q000276:immunology*; D018448:Models, Immunological; D011157:Population Dynamics
chemical_list: D000941:Antigens