On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices

Hardware-based spiking neural networks (SNNs) inspired by a biological nervous system are regarded as an innovative computing system with very low power consumption and massively parallel operation. To train SNNs with supervision, we propose an efficient on-chip training scheme approximating backpro...

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Detalles Bibliográficos
Autores principales: Kwon, Dongseok, Lim, Suhwan, Bae, Jong-Ho, Lee, Sung-Tae, Kim, Hyeongsu, Seo, Young-Tak, Oh, Seongbin, Kim, Jangsaeng, Yeom, Kyuho, Park, Byung-Gook, Lee, Jong-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358558/
https://www.ncbi.nlm.nih.gov/pubmed/32733180
http://dx.doi.org/10.3389/fnins.2020.00423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358558/
https://www.ncbi.nlm.nih.gov/pubmed/32733180
http://dx.doi.org/10.3389/fnins.2020.00423

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