CAPACITY OF NETWORKS WITH CORRELATED ATTRACTORS

We analyse the extensive loading of the neural network model proposed to describe neurophysiological experiments in which correlated attract ors associated to uncorrelated patterns are found. The phase diagram i s obtained and discussed. Some generalizations of the original model a re also considered. In all the cases we demonstrate the existence of a region in the phase diagram with correlated attractors. Results from numerical simulations which confirm the mean-field theory results are also presented.