805 citations · 810 across the 3 of their papers we have counts for
Showing 2016 · cs.NEShow all
2 papers · 2 filters
cs.NE2016★ 805 cited
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Steven K. Esser, Paul A. Merolla, John V. Arthur +13
Deep networks are now able to achieve human-level performance on a broad spectrum of recognition tasks. Independently, neuromorphic computing has now demonstrated unprecedented ene…
cs.NE2016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
Peter U. Diehl, Guido Zarrella, Andrew Cassidy +2
In recent years the field of neuromorphic low-power systems that consume orders of magnitude less power gained significant momentum. However, their wider use is still hindered by t…