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...
Salvato in:
| Autori principali: | , , , , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IOP Publishing
2024-01-01
|
| Serie: | Neuromorphic Computing and Engineering |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1088/2634-4386/ad5c97 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|