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Neil et al., 2016 - Google Patents

Learning to be efficient: Algorithms for training low-latency, low-compute deep spiking neural networks

Neil et al., 2016

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Document ID
12587789284290964332
Author
Neil D
Pfeiffer M
Liu S
Publication year
Publication venue
Proceedings of the 31st annual ACM symposium on applied computing

External Links

Snippet

Recent advances have allowed Deep Spiking Neural Networks (SNNs) to perform at the same accuracy levels as Artificial Neural Networks (ANNs), but have also highlighted a unique property of SNNs: whereas in ANNs, every neuron needs to update once before an …
Continue reading at www.zora.uzh.ch (PDF) (other versions)

Classifications

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    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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