Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits
© 2021 Wiley-VCH GmbH.
Veröffentlicht in: | Advanced materials (Deerfield Beach, Fla.). - 1998. - 33(2021), 45 vom: 01. Nov., Seite e2105017 |
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1. Verfasser: | |
Weitere Verfasser: | , , , , , , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2021
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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... |
Zusammenfassung: | © 2021 Wiley-VCH GmbH. 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 |
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Beschreibung: | Date Completed 23.02.2022 Date Revised 23.02.2022 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1521-4095 |
DOI: | 10.1002/adma.202105017 |