JOURNAL ARTICLE

Flexible Organic Optoelectronic Devices for Neuromorphic Computing

Xuemeng HuJialin MengQingxuan LiTianyu WangHao ZhuQingqing SunDavid Wei ZhangLin Chen

Year: 2023 Journal:   IEEE Electron Device Letters Vol: 44 (7)Pages: 1100-1103   Publisher: Institute of Electrical and Electronics Engineers

Abstract

With the demand of wearable device in the field of flexible electronic, synaptic devices with capability of neuromorphic computing are attracting increasing attention. In this paper, an organic flexible device with excellent synaptic behaviors was fabricated on MICA substrate, which has a memory window more than 20V. Furthermore, the device simulates organism synaptic behaviors successfully, such as paired-pulse facilitation (PPF), long-term potentiation/depression (LTP/LTD) process and transition from short-term memory (STM) to long-term memory (LTM) by optical and electrical modulation. Importantly, after repeated bending, the electrical characteristics of the device maintains stable and can still obtain synaptic behaviors by electrical and optical pulses. The proposal of the device provides the possibility of applications for wearable artificial synapses.

Keywords:
Neuromorphic engineering Neural facilitation Long-term potentiation Materials science Computer science Optoelectronics Wearable computer Artificial neural network Embedded system Artificial intelligence Chemistry

Metrics

14
Cited By
2.32
FWCI (Field Weighted Citation Impact)
27
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Photoreceptor and optogenetics research
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
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