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

Abstract 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 netw...

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Autores principales: Timo C. Wunderlich, Christian Pehle
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b122f4ad7eb4420e80716f2cff95fb3f
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