title: Dynamics-based sequential memory: winnerless competition of patterns.
abstract: We introduce a biologically motivated dynamical principle of sequential memory which is based on winnerless competition (WLC) of event images. This mechanism is implemented in a two-layer neural model of sequential spatial memory. We present the learning dynamics which leads to the formation of a WLC network. After learning, the system is capable of associative retrieval of prerecorded sequences of patterns.
authors.affiliation: Institute for Nonlinear Science, University of California, San Diego, La Jolla, California 92093-0402, USA.
authors.forename: Philip
authors.initials: P
authors.lastname: Seliger
authors.forename: Lev S
authors.initials: LS
authors.lastname: Tsimring
authors.forename: Mikhail I
authors.initials: MI
authors.lastname: Rabinovich
mesh_terms: D000465:Algorithms; D055592:Biophysical Phenomena; D001703:Biophysics; D006624:Hippocampus / Q000502:physiology*; D006801:Humans; D008568:Memory; D008954:Models, Biological; D015233:Models, Statistical; D009415:Nerve Net; D013997:Time Factors