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...

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Detalles Bibliográficos
Autores principales: Pedró, Marta, Martín-Martínez, Javier, Maestro-Izquierdo, Marcos, Rodríguez, Rosana, Nafría, Montserrat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862077/
https://www.ncbi.nlm.nih.gov/pubmed/31653029
http://dx.doi.org/10.3390/ma12213482

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