%R 10.1016/j.physa.2006.04.079
%N 1
%J Physica A: Statistical Mechanics and its Applications
%X In this work we introduce a neural network model for associative memory based on a diluted Hopfield model, which grows through a neurogenesis algorithm that guarantees that the final network is a small-world and scale-free one. We also analyze the storage capacity of the network and prove that its performance is larger than that measured in a randomly dilute network with the same connectivity. 
%L eprints2396
%D 2006
%A Juan I. Perotti
%A Francisco A. Tamarit
%A Sergio A. Cannas
%K Neural networks; Scale-free networks; Strong dilution
%I Elsevier
%V 371
%O LAWNP 2005: IX Latin American Workshop on Nonlinear Phenomena 
%P 71 - 75
%T A scale-free neural network for modelling neurogenesis