Ultralow-power flexible transparent carbon nanotube synaptic transistors for emotional memory. Issue 26 (7th June 2021)

• Record Type: Journal Article
• Authors: Wang, Yarong; Huang, Weihong; Zhang, Ziwei; Fan, Lingchong; Huang, Qiuyue; Wang, Jiaxin; Zhang, Yiming; Zhang, Min
• Is Part Of: Nanoscale. Volume 13:Issue 26(2021)
• Page Start: 11360
• Page End: 11369
• Publication Date: 2021-06-07
• Subjects: Nanoscience -- Periodicals; Nanotechnology -- Periodicals; 620.505
• DOI: 10.1039/d1nr02099d
• Languages: English
• ISSNs: 2040-3364

Abstract

Abstract : The realized artificial flexible carbon nanotube synaptic transistors possess low operating voltage, quick response and ultra-low power consumption, indicating their high potential in biological systems and artificial intelligence systems. Abstract : 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.