most citedSpiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.NE2025★ 1 cited

Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding

Daniel Windhager, Lothar Ratschbacher, Bernhard A. Moser +1

Spiking Neural Networks (SNNs) have garnered attention over recent years due to their increased energy efficiency and advantages in terms of operational complexity compared to trad…

eess.SP2023

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…