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Article overview
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Associative memory on a small-world neural network | | Luis G. Morelli
; Guillermo Abramson
; Marcelo N. Kuperman
; | | Date: |
23 Oct 2003 | | Journal: | Eur. Phys. J. B 38, 495-500 (2004) | | Subject: | Adaptation and Self-Organizing Systems; Disordered Systems and Neural Networks; Neurons and Cognition | nlin.AO cond-mat.dis-nn q-bio.NC | | Abstract: | We study a model of associative memory based on a neural network with small-world structure. The efficacy of the network to retrieve one of the stored patterns exhibits a phase transition at a finite value of the disorder. The more ordered networks are unable to recover the patterns, and are always attracted to mixture states. Besides, for a range of the number of stored patterns, the efficacy has a maximum at an intermediate value of the disorder. We also give a statistical characterization of the attractors for all values of the disorder of the network. | | Source: | arXiv, nlin.AO/0310033 | | Services: | Forum | Review | PDF | Favorites | |
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