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Environment‐Adaptable Artificial Visual Perception Behaviors Using a Light‐Adjustable Optoelectronic Neuromorphic Device Array
Author(s) -
Kwon Sung Min,
Cho Sung Woon,
Kim Minho,
Heo Jae Sang,
Kim YongHoon,
Park Sung Kyu
Publication year - 2019
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.201906433
Subject(s) - neuromorphic engineering , neural facilitation , photopic vision , materials science , computer science , perception , adaptation (eye) , transistor , synaptic plasticity , neuroscience , artificial intelligence , artificial neural network , retina , biology , voltage , electrical engineering , engineering , biochemistry , receptor
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.