Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

Spiking Neural Networks (SNNs) have recently emerged as a prominent neural computing paradigm. However, the typical shallow SNN architectures have limited capacity for expressing complex representations while training deep SNNs using input spikes has not been successful so far. Diverse methods have...

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Bibliografiske detaljer
Udgivet i:Front Neurosci
Main Authors: Lee, Chankyu, Sarwar, Syed Shakib, Panda, Priyadarshini, Srinivasan, Gopalakrishnan, Roy, Kaushik
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Neuroscience
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7059737/
https://ncbi.nlm.nih.gov/pubmed/32180697
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00119
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