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Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
Spiking neural networks, the most realistic artificial representation of biological nervous systems, are promising due to their inherent local training rules that enable low-overhead online learning, and energy-efficient information encoding. Their downside is more demanding functionality of the art...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294012/ https://www.ncbi.nlm.nih.gov/pubmed/30552327 http://dx.doi.org/10.1038/s41467-018-07757-y |