Anzeige
Erschienen in:
1989 | OriginalPaper | Buchkapitel
Storing Sequences of Biased Patterns in Neural Networks with Stochastic Dynamics
verfasst von : Joachim Buhmann, Klaus Schulten
Erschienen in: Neural Computers
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
A network of spin-like neurons with asymmetric exchange interactions and stochastic spike response is proposed. The network can store and recall time sequences of regular and random biased patterns. The patterns can overlap. The performance of the suggested network is described by Monte Carlo simulation, in terms of a Fokker-Planck equation and, for a very large number N of neurons, in terms of a Liouville equation. We provide analytical expressions for the timing of the recall and analyze the scatter of the recall around the limit of precise recall N → ∞.