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.
Differentiable hierarchical and surrogate gradient search for spiking neural networks.Advances in Neural Information Processing Systems, 35:24975–24990, 2022
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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.