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A discrete dynamical system as a model of a neural network with generalized Hebbian synapses
Affiliation:a Institute of Mathematics, Jagiellonian University, Kraków, Poland
b Institute of Mathematics, Pedagogical University, Kraków, Poland
Abstract:We study the dynamical behavior of a discrete time dynamical system which can serve as a model of a learning process. We determine fixed points of this system and basins of attraction of attracting points. This system was studied by Fernanda Botelho and James J. Jamison in [A learning rule with generalized Hebbian synapses, J. Math. Anal. Appl. 273 (2002) 529-547] but authors used its continuous counterpart to describe basins of attraction.
Keywords:Discrete dynamical system   Neural network   Hebbian synapse
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