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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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2021
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Acceso en línea: | https://doaj.org/article/b122f4ad7eb4420e80716f2cff95fb3f |
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