Training and operation of an integrated neuromorphic network based on metal-oxide memristors

Nature

Volumn 521, Issue 7550, 2015, Pages 61-64

  Prezioso, M ^a   Merrikh Bayat, F ^a   Hoskins, B D ^a   Adam, G C ^a   Likharev, K K ^b   Strukov, D B ^a  

^a University of California   (United States)

^b STONY BROOK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

METAL OXIDE; METAL; OXIDE;

ALGORITHM; ELECTRICAL METHOD; IMAGE ANALYSIS; NEUROLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MODEL; COMPUTER SIMULATION; ELECTRODE; INTEGRATED CIRCUIT; METAL OXIDE MEMRISTOR; PERCEPTRON; PRIORITY JOURNAL; SEMICONDUCTOR; SYNAPSE; ALGORITHM; BIOLOGICAL MODEL; BIOMIMETICS; CHEMISTRY; DEVICES; ELECTRONICS; ENGINEERING; EQUIPMENT DESIGN; HUMAN; NANOTECHNOLOGY; PHYSIOLOGY; TRANSISTOR;

ALGORITHMS; BIOMIMETICS; ELECTRONICS; ENGINEERING; EQUIPMENT DESIGN; HUMANS; METALS; MODELS, NEUROLOGICAL; NANOTECHNOLOGY; NEURAL NETWORKS (COMPUTER); OXIDES; SEMICONDUCTORS; SYNAPSES; TRANSISTORS, ELECTRONIC;

EID: 84929095672     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature14441     Document Type: Article

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