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Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion
The spiking neural network (SNN) is regarded as a promising candidate to deal with the great challenges presented by 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 online meta-learni...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031894/ https://www.ncbi.nlm.nih.gov/pubmed/35455118 http://dx.doi.org/10.3390/e24040455 |