电光InGaZnO突触晶体管与固态电解质疼痛感知

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Xiaoqian Li, Xingqi Ji, Xuemei Yin, Zijian Ding, Ning Wang, Yuxiang Li, Jiawei Zhang, Qian Xin, Aimin Song
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引用次数: 0

摘要

将疼痛感知集成到人工神经形态系统中的可穿戴电子设备或类人机器人中是非常可取的,因为它允许识别有害刺激并产生适当的反应。本研究基于固态离子-液体交联-聚(4-乙烯基酚)(IL-c-PVP)电解质和IGZO通道开发了柔性痛觉突触晶体管,具有优异的电学和光电性能。典型的晶体管突触可塑性,如配对脉冲促进、短期记忆和长期增强,在含有40%离子液体的电解质下实现,在20 Hz下具有0.65µF cm−2的大电双层电容。此外,由于电解质的低离子迁移率和大容量,以及IGZO对紫外光的持续光电导率和高电子载流子迁移率,所制备的突触晶体管表现出优异的痛觉能力,包括痛觉阈值,外周敏化,脱敏和中枢调节响应电光刺激,超低能量消耗(每事件≈1.3 fJ)和理想的机械灵活性。此外,通过电光共调制成功模拟了经典的巴甫洛夫疼痛条件反射,并展示了弯曲状态下的视觉成像,突出了这些突触晶体管在仿生神经系统中的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Electro-Optical InGaZnO Synaptic Transistor with Solid State Electrolyte for Pain Perception

Electro-Optical InGaZnO Synaptic Transistor with Solid State Electrolyte for Pain Perception

Electro-Optical InGaZnO Synaptic Transistor with Solid State Electrolyte for Pain Perception

Integrating pain perception into wearable electronics or humanoid robots within artificial neuromorphic systems is highly desirable, as it allows for the identification of harmful stimuli and the generation of appropriate responses. In this study, flexible pain perception synaptic transistors is developed based on solid state ionic-liquid-cross-linking-poly (4-vinylphenol) (IL-c-PVP) electrolyte and IGZO channel with excellent electrical and photoelectric performances. Typical transistor synaptic plasticity, such as paired pulse facilitation, short-term memory, and long-term potentiation, is realized with the electrolyte comprising 40% ionic liquid, featuring a large electric-double-layer capacitance of 0.65 µF cm−2 at 20 Hz. In addition, due to the low ion mobility and large capacity of the electrolyte, alongside the persistent photoconductivity to UV light and the high electron carrier mobility of the IGZO, the fabricated synaptic transistors demonstrated excellent pain perception capabilities, including pain threshold, peripheral sensitization, desensitization and central regulation in response to both electrical and optical stimuli with ultralow energy consumption (≈1.3 fJ per event) and desirable mechanical flexibility. Moreover, classical Pavlovian pain conditioning is successfully simulated through electro-optical co-modulation, and visual imaging in the curved state is demonstrated, highlighting the potential applications of these synaptic transistors in biomimetic nervous systems.

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来源期刊
Advanced Electronic Materials
Advanced Electronic Materials NANOSCIENCE & NANOTECHNOLOGYMATERIALS SCIE-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
11.00
自引率
3.20%
发文量
433
期刊介绍: Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.
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