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SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Application of deep convolutional spiking neural networks (SNNs) to artificial intelligence (AI) tasks has recently gained a lot of interest since SNNs are hardware-friendly and energy-efficient. Unlike the non-spiking counterparts, most of the existing SNN simulation frameworks are not practically...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Frontiers Media S.A. 2019-07-01
Rangatū:Frontiers in Neuroscience
Ngā marau:
Urunga tuihono:https://www.frontiersin.org/article/10.3389/fnins.2019.00625/full
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