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Exploring Optimized Spiking Neural Network Architectures for Classification Tasks on Embedded Platforms
In recent times, the usage of modern neuromorphic hardware for brain-inspired SNNs has grown exponentially. In the context of sparse input data, they are undertaking low power consumption for event-based neuromorphic hardware, specifically in the deeper layers. However, using deep ANNs for training...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125750/ https://www.ncbi.nlm.nih.gov/pubmed/34067080 http://dx.doi.org/10.3390/s21093240 |