SpikeDecoder implements a Transformer decoder using spiking neural networks and demonstrates 87-93% lower theoretical energy consumption than the ANN baseline for NLP tasks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks
SpikeDecoder implements a Transformer decoder using spiking neural networks and demonstrates 87-93% lower theoretical energy consumption than the ANN baseline for NLP tasks.