Cargando…
Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks
Spiking neural networks (SNNs) are potentially highly efficient models for inference on fully parallel neuromorphic hardware, but existing training methods that convert conventional artificial neural networks (ANNs) into SNNs are unable to exploit these advantages. Although ANN-to-SNN conversion has...
| 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/PMC7214871/ https://www.ncbi.nlm.nih.gov/pubmed/32431592 http://dx.doi.org/10.3389/fnins.2020.00439 |