TNAS-ER uses an ANN-assisted evolutionary search to optimize TTFS SNN architectures, achieving high emotion recognition performance with improved energy efficiency on neuromorphic hardware.
Temporal-coded spiking neural net- works with dynamic firing threshold: Learning with event- driven backpropagation
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Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
TNAS-ER uses an ANN-assisted evolutionary search to optimize TTFS SNN architectures, achieving high emotion recognition performance with improved energy efficiency on neuromorphic hardware.