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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...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8125750/ https://ncbi.nlm.nih.gov/pubmed/34067080 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21093240 |
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