INVESTIGADORES
TAMARIT Francisco
artículos
Título:
A scale-free neural network for modelling neurogenesis
Autor/es:
JUAN IGNACIO PEROTTI; FRANCISCO ANTONIO TAMARIT; SERGIO ALEJANDRO CANNAS
Revista:
PHYSICA A - STATISTICAL AND THEORETICAL PHYSICS
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Año: 2006 vol. 371 p. 71 - 75
ISSN:
0378-4371
Resumen:
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.
