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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Bibliographic Details
Main Authors: Timo C. Wunderlich, Christian Pehle
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-91786-z

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