Decoder-Aligned Cumulative-Prefix Training for Low-Latency Spiking Neural Network Classification
Low-latency spiking neural network classification depends on the temporal decision state queried by the deployment decoder. For cumulative spike-count decoding, losses attached only to terminal counts, instantaneous spikes, or hidden readouts can optimize states that differ from the cumulative prefi...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11601028/ |
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