title: Stochastic recurrent dynamics of complex systems of solitons.
abstract: We study networks made up of interacting solitons (solitonets), and find that their dynamics exhibits stochastic recurrent behavior, independent of the topology, where the interaction rule at the single-node level can be used to predict the dynamics of the entire network. The ideas are general, not specific to solitonets: they apply to many kinds of networks whose dynamics converges to a recurrent structure.
authors.affiliation: Physics Department, Technion-Israel Institute of Technology, Haifa 32000, Israel.
authors.forename: Ido
authors.initials: I
authors.lastname: Kaminer
authors.forename: Mordechai
authors.initials: M
authors.lastname: Segev
authors.forename: Alfred M
authors.initials: AM
authors.lastname: Bruckstein
mesh_terms: D008390:Markov Chains; D013997:Time Factors