26 citations · 181 across the 49 of their papers we have counts for
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cs.NE2023★ 3 cited
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
Marco Paul E. Apolinario, Kaushik Roy
Spiking Neural Networks (SNNs) are biologically plausible models that have been identified as potentially apt for deploying energy-efficient intelligence at the edge, particularly…
cs.NE2021
L4-Norm Weight Adjustments for Converted Spiking Neural Networks
Jason Allred, Kaushik Roy
Spiking Neural Networks (SNNs) are being explored for their potential energy efficiency benefits due to sparse, event-driven computation. Non-spiking artificial neural networks are…