Wang Yarong, Huang Weihong, Zhang Ziwei, Fan Lingchong, Huang Qiuyue, Wang Jiaxin, Zhang Yiming, Zhang Min
School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China.
Nanoscale. 2021 Jul 8;13(26):11360-11369. doi: 10.1039/d1nr02099d.
Emulating the biological behavior of the human brain with artificial neuromorphic devices is essential for the future development of human-machine interactive systems, bionic sensing systems and intelligent robotic systems. In this paper, artificial flexible transparent carbon nanotube synaptic transistors (F-CNT-STs) with signal transmission and emotional learning functions are realized by adopting the poly(vinyl alcohol) (PVA)/SiO2 proton-conducting electrolyte. Synaptic functions of biological synapses including excitatory and inhibitory behaviors are successfully emulated in the F-CNT-STs. Besides, synaptic plasticity such as spike-duration-dependent plasticity, spike-number-dependent plasticity, spike-amplitude-dependent plasticity, paired-pulse facilitation, short-term plasticity, and long-term plasticity have all been systematically characterized. Moreover, the F-CNT-STs also closely imitate the behavior of human brain learning and emotional memory functions. After 1000 bending cycles at a radius of 3 mm, both the transistor characteristics and the synaptic functions can still be implemented correctly, showing outstanding mechanical capability. The realized F-CNT-STs possess low operating voltage, quick response, and ultra-low power consumption, indicating their high potential to work in low-power biological systems and artificial intelligence systems. The flexible artificial synaptic transistor enables its potential to be generally applicable to various flexible wearable biological and intelligent applications.
利用人工神经形态器件模拟人类大脑的生物行为对于人机交互系统、仿生传感系统和智能机器人系统的未来发展至关重要。本文采用聚乙烯醇(PVA)/SiO₂ 质子传导电解质实现了具有信号传输和情感学习功能的人工柔性透明碳纳米管突触晶体管(F-CNT-STs)。在F-CNT-STs中成功模拟了生物突触的突触功能,包括兴奋性和抑制性行为。此外,还系统地表征了诸如脉冲持续时间依赖性可塑性、脉冲数量依赖性可塑性、脉冲幅度依赖性可塑性、双脉冲易化、短期可塑性和长期可塑性等突触可塑性。此外,F-CNT-STs还紧密模仿了人类大脑学习和情感记忆功能的行为。在半径为3 mm的情况下进行1000次弯曲循环后,晶体管特性和突触功能仍能正确实现,显示出出色的机械性能。所实现的F-CNT-STs具有低工作电压、快速响应和超低功耗,表明它们在低功耗生物系统和人工智能系统中工作具有很高的潜力。这种柔性人工突触晶体管使其有可能普遍适用于各种柔性可穿戴生物和智能应用。