43 citations · 101 across the 20 of their papers we have counts for
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SNN Architecture for Differential Time Encoding Using Decoupled Processing Time
Daniel Windhager, Bernhard A. Moser, Michael Lunglmayr
Spiking neural networks (SNNs) have gained attention in recent years due to their ability to handle sparse and event-based data better than regular artificial neural networks (ANNs…
Quantization in Spiking Neural Networks
Bernhard A. Moser, Michael Lunglmayr
In spiking neural networks (SNN), at each node, an incoming sequence of weighted Dirac pulses is converted into an output sequence of weighted Dirac pulses by a leaky-integrate-and…
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds
Bernhard A. Moser, Michael Lunglmayr
In order to ease the analysis of error propagation in neuromorphic computing and to get a better understanding of spiking neural networks (SNN), we address the problem of mathemati…