1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.NE2026
Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
Dalton Diez, Peyton Andras, Max Shroyer +1
Spiking neural networks (SNNs) have shown promise for sparse, event-driven computation through stateful processing that is naturally compatible with low-power edge hardware. These…
cs.LG2025★ 1 cited
Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge
James Ghawaly, Andrew Nicholson, Catherine Schuman +3
We present a general framework for training spiking neural networks (SNNs) to perform binary classification on multivariate time series, with a focus on step-wise prediction and hi…