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Event-based backpropagation can compute exact gradients for spiking neural networks

Spiking neural networks combine analog computation with event-based communication using discrete spikes. While the impressive advances of deep learning are enabled by training non-spiking artificial neural networks using the backpropagation algorithm, applying this algorithm to spiking networks was...

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Detalles Bibliográficos
Autores principales: Wunderlich, Timo C., Pehle, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213775/
https://www.ncbi.nlm.nih.gov/pubmed/34145314
http://dx.doi.org/10.1038/s41598-021-91786-z