基于离子神经形态晶体管的仿生视听感知系统,用于信息加密和解密并具有声音识别功能

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Wei Sheng Wang, Xin Li Chen, You Jie Huang, Xin Huang, Li Qiang Zhu
{"title":"基于离子神经形态晶体管的仿生视听感知系统,用于信息加密和解密并具有声音识别功能","authors":"Wei Sheng Wang, Xin Li Chen, You Jie Huang, Xin Huang, Li Qiang Zhu","doi":"10.1002/aelm.202400642","DOIUrl":null,"url":null,"abstract":"The human perceptual system is a multi-modal synergetic sensory learning system. As helps individuals to perceive and understand the world more comprehensively and deeply. Replication of human perceptual systems at the hardware level will significantly boost the progress of neuromorphic platforms. Interestingly, ionotronic device provides rich ionic dynamics for designing neuromorphic devices. It also provides interesting methodology to implement bionic perceptual learning system with multi-modal sensory activities. Here, a bionic visual-auditory perceptual system has been proposed by integrating chitosan-gated oxide ionotronic neuromorphic transistors and auditory sensors. With strong proton gating effects, the system exhibits remarkable multi-modal sensory abilities to sound and light, enabling diverse functions including encrypted sound information transmission and information decoding. The perceptual system can also perform sound recognition by perceiving the volume, tone, and timbre of sound, which results in the implementation of a sound lock function. Thanks to visual-auditory fusion, image encryption and decryption function can also be addressed. This advancement poses innovative insights for the advanced collaborative multi-perceptual intelligent platform.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"23 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bionic Visual-Auditory Perceptual System Based on Ionotronic Neuromorphic Transistor for Information Encryption and Decryption with Sound Recognition Functions\",\"authors\":\"Wei Sheng Wang, Xin Li Chen, You Jie Huang, Xin Huang, Li Qiang Zhu\",\"doi\":\"10.1002/aelm.202400642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The human perceptual system is a multi-modal synergetic sensory learning system. As helps individuals to perceive and understand the world more comprehensively and deeply. Replication of human perceptual systems at the hardware level will significantly boost the progress of neuromorphic platforms. Interestingly, ionotronic device provides rich ionic dynamics for designing neuromorphic devices. It also provides interesting methodology to implement bionic perceptual learning system with multi-modal sensory activities. Here, a bionic visual-auditory perceptual system has been proposed by integrating chitosan-gated oxide ionotronic neuromorphic transistors and auditory sensors. With strong proton gating effects, the system exhibits remarkable multi-modal sensory abilities to sound and light, enabling diverse functions including encrypted sound information transmission and information decoding. The perceptual system can also perform sound recognition by perceiving the volume, tone, and timbre of sound, which results in the implementation of a sound lock function. Thanks to visual-auditory fusion, image encryption and decryption function can also be addressed. This advancement poses innovative insights for the advanced collaborative multi-perceptual intelligent platform.\",\"PeriodicalId\":110,\"journal\":{\"name\":\"Advanced Electronic Materials\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Electronic Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/aelm.202400642\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Electronic Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/aelm.202400642","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

人类的感知系统是一个多模式协同感官学习系统。它帮助人们更全面、更深入地感知和理解世界。在硬件层面复制人类感知系统将极大地推动神经形态平台的发展。有趣的是,离子电子设备为设计神经形态设备提供了丰富的离子动力学。它还为实现多模态感知活动的仿生感知学习系统提供了有趣的方法。在这里,通过整合壳聚糖门控氧化物离子电子神经形态晶体管和听觉传感器,提出了一种仿生视觉-听觉感知系统。凭借强大的质子门控效应,该系统对声音和光线表现出卓越的多模态感知能力,可实现包括加密声音信息传输和信息解码在内的多种功能。感知系统还能通过感知声音的音量、音调和音色进行声音识别,从而实现声音锁定功能。由于视觉和听觉的融合,图像加密和解密功能也可以得到解决。这一进步为先进的协作式多感知智能平台提出了创新见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bionic Visual-Auditory Perceptual System Based on Ionotronic Neuromorphic Transistor for Information Encryption and Decryption with Sound Recognition Functions

Bionic Visual-Auditory Perceptual System Based on Ionotronic Neuromorphic Transistor for Information Encryption and Decryption with Sound Recognition Functions
The human perceptual system is a multi-modal synergetic sensory learning system. As helps individuals to perceive and understand the world more comprehensively and deeply. Replication of human perceptual systems at the hardware level will significantly boost the progress of neuromorphic platforms. Interestingly, ionotronic device provides rich ionic dynamics for designing neuromorphic devices. It also provides interesting methodology to implement bionic perceptual learning system with multi-modal sensory activities. Here, a bionic visual-auditory perceptual system has been proposed by integrating chitosan-gated oxide ionotronic neuromorphic transistors and auditory sensors. With strong proton gating effects, the system exhibits remarkable multi-modal sensory abilities to sound and light, enabling diverse functions including encrypted sound information transmission and information decoding. The perceptual system can also perform sound recognition by perceiving the volume, tone, and timbre of sound, which results in the implementation of a sound lock function. Thanks to visual-auditory fusion, image encryption and decryption function can also be addressed. This advancement poses innovative insights for the advanced collaborative multi-perceptual intelligent platform.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信