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Recent Research and Progress of Organic Photoelectric Synaptic Devices
- ACTA POLYMERICA SINICA Vol. 53, Issue 4, Pages: 374-395(2022)
- 作者机构：
中国科学院大学材料科学与光电技术学院 北京 100049
- 作者简介：
- 基金信息：
DOI：10.11777/j.issn1000-3304.2021.21363
CLC：Published：20 April 2022，
Published Online：21 February 2022，
Received：24 November 2021，
Revised：24 December 2021，
- 稿件说明：
移动端阅览
陈皓,黄辉.有机光电突触器件的研究与进展[J].高分子学报,2022,53(04):374-395.
Chen Hao,Huang Hui.Recent Research and Progress of Organic Photoelectric Synaptic Devices[J].ACTA POLYMERICA SINICA,2022,53(04):374-395.
陈皓,黄辉.有机光电突触器件的研究与进展[J].高分子学报,2022,53(04):374-395. DOI： 10.11777/j.issn1000-3304.2021.21363.
Chen Hao,Huang Hui.Recent Research and Progress of Organic Photoelectric Synaptic Devices[J].ACTA POLYMERICA SINICA,2022,53(04):374-395. DOI： 10.11777/j.issn1000-3304.2021.21363.
摘要
大脑对视觉信息学习和记忆等功能的实现是通过视觉神经元调控突触权重进行的，对光响应的突触器件是实现低能耗人工视觉系统和神经形态计算的关键. 因此，近年来有机光电突触器件引起了学术界的广泛关注. 本文指出有机光电突触器件结合了有机光电探测器和有机忆阻器2个基本光电子器件功能，实现对光信息的传感和记忆，介绍了光电突触器件的基本性能和指标，随后结合器件结构综述了目前文章中实现光电突触性能的机理，分别为光诱导载流子的捕获和去捕获，持续光电导和光致化学反应/构象改变机理. 接下来从关联学习、图像记忆、图像识别和神经形态计算4个方面综述了有机光电突触器件的应用方向，最后总结了其目前存在的问题和挑战，并对未来发展趋势进行了展望. 作为有机电子学、神经形态学、微电子学等多学科交叉的研究方向，有机光电突触将逐步从单一器件走向大面积、大规模集成系统，大大促进人工智能领域的发展.
Abstract
Visual information processing and memory in brain is carried out through the manipulation of synaptic plasticity. Light-responsive synaptic devices are the key to realizing artificial visual systems and neuromorphic computing with low energy consumption. Thus
organic photoelectric synaptic devices
which can realize the sensing and memory of optical information
have attracted increasing attention in recent years. This article first introduces that the function of organic photoelectric synaptic devices is integration of organic photodetectors and organic memristors. Then basic synaptic behavioural performance (excitatory/inhibitory post-synaptic current
paired-pulse facilitation/depression
short/long-term plasticity
learning experience and spiking-timing/rate-dependent plasticity) and important parameter indexes (energy consumption
retention time and linearity) of photoelectric synaptic devices are listed. Next
the mechanisms of organic photoelectric synaptic devices are divided into photo-induced carrier trapping and de-trapping
persistent photoconductivity and photochemical reaction/conformational change based on the device structures. Then four applications of photoelectric synaptic devices are reviewed
which is associative learning
image memory
image recognition and neuromorphic computing. Finally
the current problems and challenges of this field are summarized
and the future development trend is prospected. Nowadays
the design principle of organic molecules for organic photoelectric synaptic devices is ambiguous
so more researches and summaries on structure-property relationship should be carried out. Moreover
the evaluation criteria of synaptic devices should be established and more biological synaptic behaviors need to be emulated. As a multidisciplinary research topic of organic electronics
neuromorphology
microelectronics
etc
.
organic photoelectric synapses will gradually develop from a single device into a large-area
large-scale
multi-functional integrated system
which greatly promotes the development of artificial intelligence.
关键词
有机光电传感神经突触忆阻器仿生视觉人工智能
Keywords
Organic photoelectric sensingNeural synapseMemristorBionic visionArtificial intelligence
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