TY  - JOUR
EP  -  75
N1  - LAWNP 2005: IX Latin American Workshop on Nonlinear Phenomena 
ID  - eprints2396
N2  - 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. 
SN  - 0378-4371
UR  - http://www.sciencedirect.com/science/article/pii/S0378437106005000
KW  - Neural networks; Scale-free networks; Strong dilution
AV  - public
TI  - A scale-free neural network for modelling neurogenesis 
VL  - 371
SP  - 71 
PB  - Elsevier
A1  - Perotti, Juan I.
A1  - Tamarit, Francisco A.
A1  - Cannas, Sergio A.
JF  - Physica A: Statistical Mechanics and its Applications
IS  - 1
Y1  - 2006/11//
ER  -