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Cited 138 time in webofscience Cited 122 time in scopus
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Environment-Adaptable Artificial Visual Perception Behaviors Using a Light-Adjustable Optoelectronic Neuromorphic Device Array

Authors
Kwon, SM[Kwon, Sung Min]Cho, SW[Cho, Sung Woon]Kim, M[Kim, Minho]Heo, JS[Heo, Jae Sang]Kim, YH[Kim, Yong-Hoon]Park, SK[Park, Sung Kyu]
Issue Date
Dec-2019
Publisher
WILEY-V C H VERLAG GMBH
Keywords
artificial retinas; artificial vision systems; ionotronic synaptic transistors; light-adjustable neuromorphic circuits; photopic and scotopic adaptation
Citation
ADVANCED MATERIALS, v.31, no.52
Indexed
SCIE
SCOPUS
Journal Title
ADVANCED MATERIALS
Volume
31
Number
52
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/14138
DOI
10.1002/adma.201906433
ISSN
0935-9648
Abstract
Emulating the biological visual perception system typically requires a complex architecture including the integration of an artificial retina and optic nerves with various synaptic behaviors. However, self-adaptive synaptic behaviors, which are frequently translated into visual nerves to adjust environmental light intensities, have been one of the serious challenges for the artificial visual perception system. Here, an artificial optoelectronic neuromorphic device array to emulate the light-adaptable synaptic functions (photopic and scotopic adaptation) of the biological visual perception system is presented. By employing an artificial visual perception circuit including a metal chalcogenide photoreceptor transistor and a metal oxide synaptic transistor, the optoelectronic neuromorphic device successfully demonstrates diverse visual synaptic functions such as phototriggered short-term plasticity, long-term potentiation, and neural facilitation. More importantly, the environment-adaptable perception behaviors at various levels of the light illumination are well reproduced by adjusting load transistor in the circuit, exhibiting the acts of variable dynamic ranges of biological system. This development paves a new way to fabricate an environmental-adaptable artificial visual perception system with profound implications for the field of future neuromorphic electronics.
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