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A scale-free neural network for modelling neurogenesis

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)

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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.

Item Type: Article
Identification Number: 10.1016/j.physa.2006.04.079
Additional Information: LAWNP 2005: IX Latin American Workshop on Nonlinear Phenomena
Uncontrolled Keywords: Neural networks; Scale-free networks; Strong dilution
Subjects: Q Science > QC Physics
Research Area: Economics and Institutional Change
Depositing User: Ms T. Iannizzi
Date Deposited: 04 Dec 2014 09:16
Last Modified: 04 Dec 2014 09:16
URI: http://eprints.imtlucca.it/id/eprint/2396

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