We studied stochastic neural network models in which, in addition to long t
erm learning, fast fluctuations of the synaptic intensities occur so that t
he neuron activity update takes place assuming a set of synaptic intensitie
s taken at random from a given distribution. The influence of this distribu
tion on the performance of the retrieval process and on the general behavio
r of the network is discussed. (C) 1999 Elsevier Science B.V. All rights re
served.