A low energy oxide-based electronic synaptic device for neuromorphic visual systems with tolerance to device variation

Advanced Materials

Volumn 25, Issue 12, 2013, Pages 1774-1779

  Yu, Shimeng ^a   Gao, Bin ^b   Fang, Zheng ^d   Yu, Hongyu ^c   Kang, Jinfeng ^b   Wong, H S Philip ^a  

^a Stanford University   (United States)

^b PEKING UNIVERSITY   (China)

^c SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d INSTITUTE OF MICROELECTRONICS   (Singapore)

Author keywords

artificial visual systems; neuromorphic computing; oxide RRAM; resistive switching; synaptic devices

Indexed keywords

EMERGING COMPUTING PARADIGM; LOW ENERGY CONSUMPTION; NEUROMORPHIC COMPUTING; RESISTANCE MODULATION; RESISTIVE SWITCHING; RESISTIVE SWITCHING MEMORY; SYNAPTIC DEVICES; VISUAL SYSTEMS;

ENERGY UTILIZATION;

EDGE DETECTION;

OXIDE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMIMETICS; CHEMISTRY; ELECTRICAL EQUIPMENT; EQUIPMENT; PHYSIOLOGY; SYNAPSE; VISION;

BIOMIMETICS; ELECTRICAL EQUIPMENT AND SUPPLIES; NEURAL NETWORKS (COMPUTER); OXIDES; SYNAPSES; VISUAL PERCEPTION;

EID: 84875158827     PISSN: 09359648     EISSN: 15214095     Source Type: Journal    
DOI: 10.1002/adma.201203680     Document Type: Article

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