80 citations · 80 across the 2 of their papers we have counts for
2 papers
cs.NE2015
A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch
Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton +2
Random device mismatch that arises as a result of scaling of the CMOS (complementary metal-oxide semi-conductor) technology into the deep submicron regime degrades the accuracy of…
cs.NE2014★ 80 cited
Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'extreme learning machine' algorithm
Mark D. McDonnell, Migel D. Tissera, Tony Vladusich +2
Recent advances in training deep (multi-layer) architectures have inspired a renaissance in neural network use. For example, deep convolutional networks are becoming the default op…