Zhang Junyao, Lu Yang, Dai Shilei, Wang Ruizhi, Hao Dandan, Zhang Shiqi, Xiong Lize, Huang Jia
Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 201804, China.
Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital Affiliated to Tongji University, Tongji University, Shanghai 200434, China.
Research (Wash D C). 2021 Feb 22;2021:7131895. doi: 10.34133/2021/7131895. eCollection 2021.
For the realization of retina-inspired neuromorphic visual systems which simulate basic functions of human visual systems, optoelectronic synapses capable of combining perceiving, processing, and memorizing in a single device have attracted immense interests. Here, optoelectronic synaptic transistors based on tris(2-phenylpyridine) iridium (Ir(ppy)) and poly(3,3-didodecylquarterthiophene) (PQT-12) heterojunction structure are presented. The organic heterojunction serves as a basis for distinctive synaptic characteristics under different wavelengths of light. Furthermore, synaptic transistor arrays are fabricated to demonstrate their optical perception efficiency and color recognition capability under multiple illuminating conditions. The wavelength-tunability of synaptic behaviors further enables the mimicry of mood-modulated visual learning and memorizing processes of humans. More significantly, the computational dynamics of neurons of synaptic outputs including associated learning and optical logic functions can be successfully demonstrated on the presented devices. This work may locate the stage for future studies on optoelectronic synaptic devices toward the implementation of artificial visual systems.
为了实现模拟人类视觉系统基本功能的受视网膜启发的神经形态视觉系统，能够在单个器件中结合感知、处理和记忆功能的光电突触引起了极大的兴趣。在此，展示了基于三（2-苯基吡啶）铱（Ir(ppy)）和聚（3,3-二十二烷基四噻吩）（PQT-12）异质结结构的光电突触晶体管。有机异质结作为在不同波长光下具有独特突触特性的基础。此外，制造了突触晶体管阵列以展示它们在多种照明条件下的光学感知效率和颜色识别能力。突触行为的波长可调性进一步使得能够模拟人类情绪调节的视觉学习和记忆过程。更重要的是，在所展示的器件上可以成功地演示突触输出神经元的计算动力学，包括相关的学习和光学逻辑功能。这项工作可能为未来关于光电突触器件以实现人工视觉系统的研究奠定基础。
