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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...

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Detalles Bibliográficos
Autores principales:	Bird, Alex D., Jedlicka, Peter, Cuntz, Hermann
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
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

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