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Bipolar synaptic organic/inorganic heterojunction transistor with complementary light modulation and low power consumption for energy-efficient artificial vision systems

用于低能耗人工视觉系统的具有互补光调制和低功耗的双极突触有机/无机异质结晶体管

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Abstract

Photoelectric synaptic transistors integrate optical sensing and synaptic functions into a single device, which has significant advantages in neuromorphic computing for visual information, recognition, memory, and processing. However, the weight updating of existing photoelectric synapses is predominantly based on separate utilization of light and electrical stimuli to regulate synaptic excitation and inhibition. This approach significantly restricts the processing speed and application scenarios of devices. In this work, we propose bipolar synaptic organic/inorganic heterojunction transistor (BSOIHT) that can effectively simulate bidirectional (excitatory/inhibitory) synaptic behavior under light stimulation. Furthermore, by changing the position of electrode contacts and the metals of source and drain electrodes, carrier injection of the transistor is significantly improved with reduced synaptic event power consumption down to 2.4 fJ. Moreover, the BSOIHTs are adopted to build the neuromorphic vision system, which effectively facilitates image preprocessing and substantially enhances the recognition accuracy from 44.93% to 87.01%. This paper provides new avenues for the construction of energy-efficient artificial vision systems.

摘要

光电突触晶体管将光传感和突触功能集成到单个器件中, 在视觉信息采集、识别、记忆和处理的神经形态计算具有显著的优势. 然而, 现有光电突触的权重更新主要是基于光刺激和电刺激分别调节突触的兴奋和抑制. 这种方式严重限制了器件的处理速度和应用场景. 在这项工作中, 我们提出了双极突触有机/无机异质结晶体管(BSOIHT),可以有效地模拟光刺激下的双向(兴奋/抑制)突触行为. 此外, 通过优化电极接触位置以及电极材料, 晶体管的载流子注入得到了显著改善, 使得突触事件功耗降至2.4 fJ. 此外, 采用BSOIHT构建的神经形态视觉系统, 有效地促进了图像预处理, 将识别准确率从44.93%大幅提高到87.01%. 这为构建低能耗的人工视觉系统提供了新的途径.

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Acknowledgements

This work was supported by the National Key Research and Development Program of China (2022YFB3603802), the National Natural Science Foundation of China (62374033), and Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China (2021ZZ129).

Author information

Authors and Affiliations

  1. Institute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, 350002, China

    Changfei Liu  (刘常飞), Changsong Gao  (高昌松), Weilong Huang  (黄伟龙), Minrui Lian  (连敏锐), Chenhui Xu  (许晨晖), Huipeng Chen  (陈惠鹏) & Tailiang Guo  (郭太良)

  2. Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, 350100, China

    Changfei Liu  (刘常飞), Changsong Gao  (高昌松), Weilong Huang  (黄伟龙), Minrui Lian  (连敏锐), Chenhui Xu  (许晨晖), Huipeng Chen  (陈惠鹏) & Tailiang Guo  (郭太良)

  3. Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou, 350207, China

    Changfei Liu  (刘常飞), Weilong Huang  (黄伟龙), Minrui Lian  (连敏锐) & Wenping Hu  (胡文平)

  4. Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University & Collaborative Innovation, Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China

    Wenping Hu  (胡文平)

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  1. Changfei Liu  (刘常飞)
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Contributions

Author contributions Chen H and Guo T conceived the project. Liu C, Gao C, and Lian M designed and performed the experiments and collected the data. Liu C, Huang W, and Xu C analyzed and discussed the data. Liu C, Chen H, and Hu W wrote the paper. All authors contributed to the general discussion.

Corresponding author

Correspondence to Huipeng Chen  (陈惠鹏).

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Conflict of interest The authors declare that they have no conflict of interest.

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Supplementary information Supporting data are available in the online version of the paper.

Changfei Liu received his Bachelor’s degree from Fuzhou University in 2021. Now he is a Master student of physical electronics at the School of Physics and Information Engineering, Fuzhou University. His current research interests mainly focus on the photoelectric synaptic devices.

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40843_2024_2812_MOESM1_ESM.pdf

Bipolar Synaptic Organic/Inorganic Heterojunction Transistor with Complementary Light Modulation and Low Power Consumption for Energy-Efficient Artificial Vision Systems

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Liu, C., Gao, C., Huang, W. et al. Bipolar synaptic organic/inorganic heterojunction transistor with complementary light modulation and low power consumption for energy-efficient artificial vision systems. Sci. China Mater. 67, 1500–1508 (2024). https://doi.org/10.1007/s40843-024-2812-7

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  • DOI: https://doi.org/10.1007/s40843-024-2812-7

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