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Selective connectivity enhances storage capacity in attractor models of memory function
Autoassociative neural networks provide a simple model of how memories can be stored through Hebbian synaptic plasticity as retrievable patterns of neural activity. Although progress has been made along the last decades in understanding the biological implementation of autoassociative networks, thei...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519847/ https://www.ncbi.nlm.nih.gov/pubmed/36185821 http://dx.doi.org/10.3389/fnsys.2022.983147 |