Sparse RNNs can support high-capacity classification

Feedforward network models performing classification tasks rely on highly convergent output units that collect the information passed on by preceding layers. Although convergent output-unit like neurons may exist in some biological neural circuits, notably the cerebellar cortex, neocortical circuits...

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Detalles Bibliográficos
Autores principales: Turcu, Denis, Abbott, L. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797087/
https://www.ncbi.nlm.nih.gov/pubmed/36516226
http://dx.doi.org/10.1371/journal.pcbi.1010759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797087/
https://www.ncbi.nlm.nih.gov/pubmed/36516226
http://dx.doi.org/10.1371/journal.pcbi.1010759

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