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Dendritic normalisation improves learning in sparsely connected artificial neural networks
Artificial neural networks, taking inspiration from biological neurons, have become an invaluable tool for machine learning applications. Recent studies have developed techniques to effectively tune the connectivity of sparsely-connected artificial neural networks, which have the potential to be mor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407571/ https://www.ncbi.nlm.nih.gov/pubmed/34370727 http://dx.doi.org/10.1371/journal.pcbi.1009202 |