Synaptic balancing: A biologically plausible local learning rule that provably increases neural network noise robustness without sacrificing task performance

We introduce a novel, biologically plausible local learning rule that provably increases the robustness of neural dynamics to noise in nonlinear recurrent neural networks with homogeneous nonlinearities. Our learning rule achieves higher noise robustness without sacrificing performance on the task a...

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Detalles Bibliográficos
Autores principales: Stock, Christopher H., Harvey, Sarah E., Ocko, Samuel A., Ganguli, Surya
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/PMC9522011/
https://www.ncbi.nlm.nih.gov/pubmed/36121844
http://dx.doi.org/10.1371/journal.pcbi.1010418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522011/
https://www.ncbi.nlm.nih.gov/pubmed/36121844
http://dx.doi.org/10.1371/journal.pcbi.1010418

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