SpikeDecoder implements a Transformer decoder using spiking neural networks and demonstrates 87-93% lower theoretical energy consumption than the ANN baseline for NLP tasks.
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
3 Pith papers cite this work, alongside 482 external citations. Polarity classification is still indexing.
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A neuron-astrocyte network with dual-timescale memory reduces median path lengths up to sixfold in partially observable grid-world navigation tasks.
A dual-timescale Hebbian accumulator enables online SNN decoding for BMIs with constant memory, no BPTT, and reported correlations of R >= 0.81 and 0.63 on two primate datasets plus 63-86% memory savings.
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Dual-Timescale Memory in a Spiking Neuron-Astrocyte Network for Efficient Navigation
A neuron-astrocyte network with dual-timescale memory reduces median path lengths up to sixfold in partially observable grid-world navigation tasks.