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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and l...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478701/ https://www.ncbi.nlm.nih.gov/pubmed/28680387 http://dx.doi.org/10.3389/fnins.2017.00324 |