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Flexible Metal Oxide/Graphene Oxide Hybrid Neuromorphic Transistors on Flexible Conducting Graphene Substrates
Author(s) -
Wan Chang Jin,
Liu Yang Hui,
Feng Ping,
Wang Wei,
Zhu Li Qiang,
Liu Zhao Ping,
Shi Yi,
Wan Qing
Publication year - 2016
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201600820
Subject(s) - neuromorphic engineering , graphene , oxide , materials science , nanotechnology , transistor , computer science , detector , computer architecture , optoelectronics , artificial intelligence , artificial neural network , electrical engineering , engineering , voltage , telecommunications , metallurgy
Flexible metal oxide/graphene oxide hybrid multi‐gate neuromorphic transistors are fabricated on flexible conducting graphene substrates. Dendritic integrations in both spatial and temporal modes are emulated, and spatiotemporal correlated logics are obtained. A proof‐of‐principle visual system model for emulating Lobula Giant Motion Detector neuron is also investigated. The results are of great significance for flexible sensors and neuromorphic cognitive systems.