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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Abstract
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: | https://doi.org/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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