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Impact of the Sub-Resting Membrane Potential on Accurate Inference in Spiking Neural Networks

Spiking neural networks (SNNs) are considered as the third generation of artificial neural networks, having the potential to improve the energy efficiency of conventional computing systems. Although the firing rate of a spiking neuron is an approximation of rectified linear unit (ReLU) activation in...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Sci Rep
Päätekijät: Hwang, Sungmin, Chang, Jeesoo, Oh, Min-Hye, Lee, Jong-Ho, Park, Byung-Gook
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group UK 2020
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7044207/
https://ncbi.nlm.nih.gov/pubmed/32103126
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-60572-8
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