Efficient sparse spiking auto-encoder for reconstruction, denoising and classification
Auto-encoders are capable of performing input reconstruction, denoising, and classification through an encoder-decoder structure. Spiking Auto-Encoders (SAEs) can utilize asynchronous sparse spikes to improve power efficiency and processing latency on neuromorphic hardware. In our work, we propose a...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IOP Publishing
2024-01-01
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| Seri Bilgileri: | Neuromorphic Computing and Engineering |
| Konular: | |
| Online Erişim: | https://doi.org/10.1088/2634-4386/ad5c97 |
| Etiketler: |
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