Cargando…
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...
| Autores principales: | , , , , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
|
| Materias: | |
| 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 |