Bio-Inspired P-type TeSeOx Synaptic Transistor Based on Multispectral Sensing for Neuromorphic Visual Multilevel Nociceptor.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Li Zhu, Sixian Li, Feng Zhang, Xiang Wan, Chee Leong Tan, Huabin Sun, Shancheng Yan, Yong Xu, Ao Liu, Zhihao Yu
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引用次数: 0

Abstract

The development of neuromorphic color vision has significant research implications in the fields of machine vision and artificial intelligence. By mimicking the processing mechanisms of energy-efficient biological visual systems, it offers a unique potential for real-time color environment perception and dynamic adaptability. This paper reports on a multispectral color sensing synaptic device based on a novel p-type TeSeOx transistor, applied to a neuromorphic visual multilevel nociceptor. Due to the intrinsic properties of TeSeOx, its narrow bandgap allows for multi-wavelength (405, 532, 655 nm) response, and its oxide semiconductor-based persistent photoconductivity converts optical signals into stored electrical signals, successfully emulating key synaptic characteristics such as excitatory postsynaptic current (EPSC), multi-pulse facilitation, and the transition from short-term to long-term memory. Additionally, it simulates learning, forgetting, and relearning behaviors, as well as image memory under tricolor light. Finally, using optical signals as a pain stimulus, the fundamental functions of a nociceptor are realized, including "threshold," "non-adaptation," "relaxation," and "nociceptive sensitization". More importantly, by using tricolor light, multilevel pain perception is acheived. These results have the potential to advance fields such as autonomous driving, machine vision, and intelligent alert systems.

基于多光谱传感的生物启发 P 型 TeSeOx 突触晶体管,用于神经形态视觉多级痛觉感受器。
神经形态色彩视觉的发展对机器视觉和人工智能领域具有重要的研究意义。通过模仿高能效生物视觉系统的处理机制,它为实时色彩环境感知和动态适应性提供了独特的潜力。本文报告了一种基于新型 p 型 TeSeOx 晶体管的多光谱颜色传感突触器件,该器件应用于神经形态视觉多级痛觉感受器。由于 TeSeOx 的固有特性,它的窄带隙可实现多波长(405、532、655 纳米)响应,其基于氧化物半导体的持久光电导性可将光信号转换为存储的电信号,从而成功模拟兴奋性突触后电流(EPSC)、多脉冲促进以及从短期记忆到长期记忆的过渡等关键突触特性。此外,它还模拟了学习、遗忘和再学习行为,以及三色光下的图像记忆。最后,利用光信号作为疼痛刺激,实现了痛觉感受器的基本功能,包括 "阈值"、"不适应"、"松弛 "和 "痛觉敏感化"。更重要的是,通过使用三色光,实现了多级疼痛感知。这些成果有望推动自动驾驶、机器视觉和智能警报系统等领域的发展。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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