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Self-Organizing Neural Networks Based on OxRAM Devices under a Fully Unsupervised Training Scheme
A fully-unsupervised learning algorithm for reaching self-organization in neuromorphic architectures is provided in this work. We experimentally demonstrate spike-timing dependent plasticity (STDP) in Oxide-based Resistive Random Access Memory (OxRAM) devices, and propose a set of waveforms in order...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862077/ https://www.ncbi.nlm.nih.gov/pubmed/31653029 http://dx.doi.org/10.3390/ma12213482 |