On the effect of synaptic fluctuations during retrieval processes in neural network models

We studied stochastic neural network models in which, in addition to long term learning, fast fluctuations of the synaptic intensities occur so that the neuron activity update takes place assuming a set of synaptic intensities taken at random from a given distribution. The influence of this distribution on the performance of the retrieval process and on the general behavior of the network is discussed.