title: Fluctuation-induced memory retrieval in a pulsed neural network storing sparse patterns with hierarchical correlations.
abstract: An associative memory in a pulsed neural network composed of the FitzHugh-Nagumo models storing sparse patterns with hierarchical correlations is investigated. The memory patterns composed of 0/1 digits are represented by the synchronous periodic firings of the neurons. It is found that the target pattern and the OR pattern are retrieved individually by controlling the intensity of fluctuations in the system.
authors.affiliation: Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan.
authors.forename: T
authors.initials: T
authors.lastname: Kanamaru
authors.forename: Y
authors.initials: Y
authors.lastname: Okabe
mesh_terms: D000818:Animals; D006801:Humans; D008568:Memory; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net; D009474:Neurons / Q000502:physiology*; D013997:Time Factors