Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits

© 2021 Wiley-VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 33(2021), 45 vom: 01. Nov., Seite e2105017
1. Verfasser: Kwon, Sung Min (VerfasserIn)
Weitere Verfasser: Kwak, Jee Young, Song, Seungho, Kim, Jeehoon, Jo, Chanho, Cho, Sung Soo, Nam, Seung-Ji, Kim, Jaehyun, Park, Gyeong-Su, Kim, Yong-Hoon, Park, Sung Kyu
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article bidirectional synaptic modulation heterostructure phototransistors, optoelectronic neuromorphic systems pattern recognition Cadmium Compounds Sulfides Indium 045A6V3VFX cadmium sulfide 057EZR4Z7Q mehr... Gallium CH46OC8YV4 Zinc Oxide SOI2LOH54Z
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245 1 0 |a Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits 
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520 |a The complete hardware implementation of an optoelectronic neuromorphic computing system is considered as one of the most promising solutions to realize energy-efficient artificial intelligence. Here, a fully light-driven and scalable optoelectronic neuromorphic circuit with metal-chalcogenide/metal-oxide heterostructure phototransistor and photovoltaic divider is proposed. To achieve wavelength-selective neural operation and hardware-based pattern recognition, multispectral light modulated bidirectional synaptic circuits are utilized as an individual pixel for highly accurate and large-area neuromorphic computing system. The wavelength selective control of photo-generated charges at the heterostructure interface enables the bidirectional synaptic modulation behaviors including the excitatory and inhibitory modulations. More importantly, a 7 × 7 neuromorphic pixel circuit array is demonstrated to show the viability of implementing highly accurate hardware-based pattern training. In both the pixel training and pattern recognition simulation, the neuromorphic circuit array with the bidirectional synaptic modulation exhibits lower training errors and higher recognition rates, respectively 
650 4 |a Journal Article 
650 4 |a bidirectional synaptic modulation 
650 4 |a heterostructure phototransistors, optoelectronic neuromorphic systems 
650 4 |a pattern recognition 
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650 7 |a CH46OC8YV4  |2 NLM 
650 7 |a Zinc Oxide  |2 NLM 
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700 1 |a Kwak, Jee Young  |e verfasserin  |4 aut 
700 1 |a Song, Seungho  |e verfasserin  |4 aut 
700 1 |a Kim, Jeehoon  |e verfasserin  |4 aut 
700 1 |a Jo, Chanho  |e verfasserin  |4 aut 
700 1 |a Cho, Sung Soo  |e verfasserin  |4 aut 
700 1 |a Nam, Seung-Ji  |e verfasserin  |4 aut 
700 1 |a Kim, Jaehyun  |e verfasserin  |4 aut 
700 1 |a Park, Gyeong-Su  |e verfasserin  |4 aut 
700 1 |a Kim, Yong-Hoon  |e verfasserin  |4 aut 
700 1 |a Park, Sung Kyu  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Advanced materials (Deerfield Beach, Fla.)  |d 1998  |g 33(2021), 45 vom: 01. Nov., Seite e2105017  |w (DE-627)NLM098206397  |x 1521-4095  |7 nnns 
773 1 8 |g volume:33  |g year:2021  |g number:45  |g day:01  |g month:11  |g pages:e2105017 
856 4 0 |u http://dx.doi.org/10.1002/adma.202105017  |3 Volltext 
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