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Artificial Optoelectronic Synapses Based on TiN x O 2– x /MoS 2 Heterojunction for Neuromorphic Computing and Visual System (Adv. Funct. Mater. 34/2021)
Author(s) -
Wang Wenxiao,
Gao Song,
Li Yang,
Yue Wenjing,
Kan Hao,
Zhang Chunwei,
Lou Zheng,
Wang Lili,
Shen Guozhen
Publication year - 2021
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.202170247
Subject(s) - neuromorphic engineering , materials science , heterojunction , optoelectronics , construct (python library) , synapse , tin , computer science , nanotechnology , artificial neural network , artificial intelligence , neuroscience , metallurgy , biology , programming language
Artificial Optoelectronic Synapses In article number 2101201, Yang Li, Guozhen Shen, and co‐workers present an artificial optoelectronic synapse for a neuromorphic computing and visual system. Benefiting from the voltage and light‐induced synaptic behavior, the device enables the transition between short‐ and long‐term‐memory via the number of applied light pulses, successfully emulating the human visual system. The research provides an effective pathway to construct electronic eyes and light‐driven neurorobotics.