title: Clustering of stored memories in an attractor network with local competition.
abstract: In this paper we study an attractor network with units that compete locally for activation and we prove that a reduced version of it has fixpoint dynamics. An analysis, complemented by simulation experiments, of the local characteristics of the network's attractors with respect to a parameter controlling the intensity of the local competition is performed. We find that the attractors are hierarchically clustered when the parameter of the local competition is changed.
authors.affiliation: School of Computer Science and Communication, Royal Institute of Technology, Roslagstullsbacken 35, Stockholm, 100 44, Sweden. cjo@nada.kth.se
authors.forename: Christopher
authors.initials: C
authors.lastname: Johansson
authors.forename: Orjan
authors.initials: O
authors.lastname: Ekeberg
authors.forename: Anders
authors.initials: A
authors.lastname: Lansner
mesh_terms: D016000:Cluster Analysis; D006801:Humans; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer