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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...

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Detalles Bibliográficos
Autores principales: Hwang, Sungmin, Chang, Jeesoo, Oh, Min-Hye, Lee, Jong-Ho, Park, Byung-Gook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044207/
https://www.ncbi.nlm.nih.gov/pubmed/32103126
http://dx.doi.org/10.1038/s41598-020-60572-8