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- Title
Optoelectronic Synapses Based on MoS<sub>2</sub> Transistors for Accurate Image Recognition.
- Authors
Huang, Biying; Li, Na; Wang, Qinqin; Ouyang, Chen; He, Congli; Zhang, Lianchang; Du, Luojun; Yang, Wei; Yang, Rong; Shi, Dongxia; Zhang, Guangyu
- Abstract
Neuromorphic chips show advantages over conventional computing system based on von Neumann architecture when dealing with complex scenes, such as artificial intelligence, automatic driving, image, and speech recognition. However, current neuromorphic circuitry usually suffers from device complexity, low computing speed, and efficiency issues. Here, the fabrication of artificial optoelectronic synapses based on MoS2 field‐effect transistors (FETs) to integrate the sensing, memorizing, and preprocessing functions together is reported. Light‐tunable and gate‐voltage modulated behaviors enable those devices to implement many opto‐synaptic functions, such as paired‐pulse facilitation (PPF), short‐term memory (STM), long‐term memory (LTM), the transition of STM‐to‐LTM, and interest‐modulate human visual memory. Moreover, background noise filtering for image preprocessing with a high recognition accuracy ≈85.5% is realized in MoS2‐based optoelectronic array devices. These simple but prospective opto‐synaptic devices provide an alternative approach to construct neuromorphic visual systems.
- Subjects
IMAGE recognition (Computer vision); AUTOMATIC speech recognition; SYNAPSES; VISUAL memory; ARTIFICIAL intelligence; TRANSISTORS
- Publication
Advanced Materials Interfaces, 2022, Vol 9, Issue 32, p1
- ISSN
2196-7350
- Publication type
Article
- DOI
10.1002/admi.202201558