relation: http://eprints.imtlucca.it/2396/
title: A scale-free neural network for modelling neurogenesis 
creator: Perotti, Juan I.
creator: Tamarit, Francisco A.
creator: Cannas, Sergio A.
subject: QC Physics
description: 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. 
publisher: Elsevier
date: 2006-11
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/2396/1/Perotti_preprint_2006.pdf
identifier:   Perotti, Juan I. and Tamarit, Francisco A. and Cannas, Sergio A.  A scale-free neural network for modelling neurogenesis.  Physica A: Statistical Mechanics and its Applications, 371 (1).  71 - 75.  ISSN 0378-4371      (2006)  
relation: http://www.sciencedirect.com/science/article/pii/S0378437106005000
relation: 10.1016/j.physa.2006.04.079