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Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning
Spiking neural networks (SNNs) are regarded as a promising candidate to deal with the major challenges of current machine learning techniques, including the high energy consumption induced by deep neural networks. However, there is still a great gap between SNNs and the few-shot learning performance...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124799/ https://www.ncbi.nlm.nih.gov/pubmed/35615277 http://dx.doi.org/10.3389/fnins.2022.850932 |