2023
DOI: 10.1002/adfm.202303539
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Bioinspired Artificial Visual System Based on 2D WSe2 Synapse Array

Abstract: Machine vision systems that capture images for visual inspection and recognition tasks must be able to perceive, memorize, and compute any color scene. To achieve this, most of the current visual systems use circuits and algorithms which may reduce efficiency and increase complexity. Herein, a 2D semiconductor tungsten diselenide (WSe2)‐based phototransistor that successfully demonstrates an artificial vision system integrating the processing capability of visual information sensing memory, is reported. Furthe… Show more

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Cited by 20 publications
(7 citation statements)
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“…Artificial synapses have developed into many types, among which artificial visual synapses (AVS) that encompass optical sensing and memory capabilities have received widespread attention. The approach of biomimicking the biological visual neural system using these synapses has been extensively applied. Perovskite materials have been considered as the promising candidate for AVS applications due to the outstanding optoelectronic properties , and characteristics related to ion migration. …”
Section: Introductionmentioning
confidence: 99%
“…Artificial synapses have developed into many types, among which artificial visual synapses (AVS) that encompass optical sensing and memory capabilities have received widespread attention. The approach of biomimicking the biological visual neural system using these synapses has been extensively applied. Perovskite materials have been considered as the promising candidate for AVS applications due to the outstanding optoelectronic properties , and characteristics related to ion migration. …”
Section: Introductionmentioning
confidence: 99%
“…Arti cial synapses have developed into many types, among which arti cial visual synapses (AVS) that encompass optical sensing and memory capabilities have received widespread attention. The approach of biomimicking the biological visual neural system using these synapses has been extensively applied 6,7 . AVS can be categorized based on their structure into two distinct types: standalone devices featuring separate light-sensing and memory modules 8,9 , and integrated devices combining both light sensing and memory modules into one unit [10][11][12][13] .…”
Section: Introductionmentioning
confidence: 99%
“…Artificial synapses have developed into many types, among which artificial visual synapses (AVS) that encompass optical sensing and memory capabilities have received widespread attention. The approach of biomimicking the biological visual neural system using these synapses has been extensively applied 6,7 . AVS can be categorized based on their structure into two distinct types: standalone devices featuring separate light-sensing and memory modules 8,9 , and integrated devices combining both light sensing and memory modules into one unit [10][11][12][13] .…”
Section: Introductionmentioning
confidence: 99%