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IDSNN: Towards High-Performance and Low-Latency SNN Training via Initialization and Distillation
Spiking neural networks (SNNs) are widely recognized for their biomimetic and efficient computing features. They utilize spikes to encode and transmit information. Despite the many advantages of SNNs, they suffer from the problems of low accuracy and large inference latency, which are, respectively,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452895/ https://www.ncbi.nlm.nih.gov/pubmed/37622980 http://dx.doi.org/10.3390/biomimetics8040375 |