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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Detalles Bibliográficos
Autores principales: Syed, Tehreem, Kakani, Vijay, Cui, Xuenan, Kim, Hakil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125750/
https://www.ncbi.nlm.nih.gov/pubmed/34067080
http://dx.doi.org/10.3390/s21093240

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