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On stability and associative recall of memories in attractor neural networks
Attractor neural networks such as the Hopfield model can be used to model associative memory. An efficient associative memory should be able to store a large number of patterns which must all be stable. We study in detail the meaning and definition of stability of network states. We reexamine the me...
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| Publicado en: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7498056/ https://ncbi.nlm.nih.gov/pubmed/32941475 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0238054 |
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