Title: Statics and dynamics of an Ashkin-Teller neural network with low loading
Authors: Bollé, Désiré
Kozlowski, Piotr #
Issue Date: Jul-1998
Publisher: Iop publishing ltd
Series Title: Journal of Physics A. Mathematical and General vol:31 issue:30 pages:6319-6332
Abstract: An Ashkin-Teller neural network, allowing for two types of neurons is considered in the case of low loading as a function of the strength of the respective couplings between these neurons. The storage and retrieval of embedded patterns built from the two types of neurons, with different degrees of (in)dependence is studied. In particular, thermodynamic properties including the existence and stability of Mattis states are discussed. Furthermore, the dynamic behaviour is examined by deriving flow equations for the macroscopic overlap. It is found that for linked patterns the model shows better retrieval properties than a corresponding Hopfield model.
ISSN: 0305-4470
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Theoretical Physics Section
# (joint) last author

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