70 citations · 168 across the 17 of their papers we have counts for
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cs.NE2018★ 70 cited
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain
Laxmi R. Iyer, Yansong Chua, Haizhou Li
The advantage of spiking neural networks (SNNs) over their predecessors is their ability to spike, enabling them to use spike timing for coding and efficient computing. A neuromorp…
cs.CV2018★ 2 cited
Classifying neuromorphic data using a deep learning framework for image classification
Roshan Gopalakrishnan, Yansong Chua, Laxmi R Iyer
In the field of artificial intelligence, neuromorphic computing has been around for several decades. Deep learning has however made much recent progress such that it consistently o…