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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,...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Sci Rep
Hauptverfasser: Prezioso, M., Merrikh Bayat, F., Hoskins, B., Likharev, K., Strukov, D.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group 2016
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4759564/
https://ncbi.nlm.nih.gov/pubmed/26893175
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep21331
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