Suppr超能文献

基于多光谱传感的生物启发式P型碲硒突触晶体管用于神经形态视觉多级伤害感受器

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

作者信息

Zhu Li, Li Sixian, Zhang Feng, Wan Xiang, Tan Chee Leong, Sun Huabin, Yan Shancheng, Xu Yong, Liu Ao, Yu Zhihao

机构信息

College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.

Guangdong Greater Bay Area Institute of Integrated Circuit and System, Guangzhou, 510535, China.

出版信息

Small Methods. 2025 May;9(5):e2401543. doi: 10.1002/smtd.202401543. Epub 2024 Nov 24.

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 TeSeO transistor, applied to a neuromorphic visual multilevel nociceptor. Due to the intrinsic properties of TeSeO, 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.

摘要

神经形态彩色视觉的发展在机器视觉和人工智能领域具有重要的研究意义。通过模仿节能生物视觉系统的处理机制,它为实时彩色环境感知和动态适应性提供了独特的潜力。本文报道了一种基于新型p型TeSeO晶体管的多光谱颜色传感突触器件,应用于神经形态视觉多级伤害感受器。由于TeSeO的固有特性,其窄带隙允许多波长(405、532、655nm)响应,并且其基于氧化物半导体的持久光电导将光信号转换为存储的电信号,成功地模拟了关键的突触特性,如兴奋性突触后电流(EPSC)、多脉冲易化以及从短期记忆到长期记忆的转变。此外,它模拟了学习、遗忘和重新学习行为,以及三色光下的图像记忆。最后,使用光信号作为疼痛刺激,实现了伤害感受器的基本功能,包括“阈值”、“非适应性”、“松弛”和“伤害性敏感化”。更重要的是,通过使用三色光,实现了多级疼痛感知。这些结果有可能推动自动驾驶、机器视觉和智能警报系统等领域的发展。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验