Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks

Equilibrium propagation is a learning framework that marks a step forward in the search for a biologically-plausible implementation of deep learning, and could be implemented efficiently in neuromorphic hardware. Previous applications of this framework to layered networks encountered a vanishing gra...

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Detalles Bibliográficos
Autores principales: Gammell, Jimmy, Buckley, Sonia, Nam, Sae Woo, McCaughan, Adam N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165608/
https://www.ncbi.nlm.nih.gov/pubmed/34079446
http://dx.doi.org/10.3389/fncom.2021.627357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165608/
https://www.ncbi.nlm.nih.gov/pubmed/34079446
http://dx.doi.org/10.3389/fncom.2021.627357

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