6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.NE2020
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikes
Christoph Stöckl, Wolfgang Maass
Spike-based neuromorphic hardware promises to reduce the energy consumption of image classification and other deep learning applications, particularly on mobile phones or other edg…
cs.NE2020★ 6 cited
Recognizing Images with at most one Spike per Neuron
Christoph Stöckl, Wolfgang Maass
In order to port the performance of trained artificial neural networks (ANNs) to spiking neural networks (SNNs), which can be implemented in neuromorphic hardware with a drasticall…