Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors

Metal-oxide memristors have emerged as promising candidates for hardware implementation of artificial synapses – the key components of high-performance, analog neuromorphic networks - due to their excellent scaling prospects. Since some advanced cognitive tasks require spiking neuromorphic networks,...

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Detalles Bibliográficos
Autores principales: Prezioso, M., Merrikh Bayat, F., Hoskins, B., Likharev, K., Strukov, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759564/
https://www.ncbi.nlm.nih.gov/pubmed/26893175
http://dx.doi.org/10.1038/srep21331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759564/
https://www.ncbi.nlm.nih.gov/pubmed/26893175
http://dx.doi.org/10.1038/srep21331

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