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Enhanced storage capacity with errors in scale-free Hopfield neural networks: An analytical study
The Hopfield model is a pioneering neural network model with associative memory retrieval. The analytical solution of the model in mean field limit revealed that memories can be retrieved without any error up to a finite storage capacity of O(N), where N is the system size. Beyond the threshold, the...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5659639/ https://ncbi.nlm.nih.gov/pubmed/29077721 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0184683 |
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