• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

高度有前途的二维/一维 BP-C/CNT 仿生光嗅觉协同人工突触用于多感觉整合。

Highly Promising 2D/1D BP-C/CNT Bionic Opto-Olfactory Co-Sensory Artificial Synapses for Multisensory Integration.

机构信息

Xi 'an Key Laboratory of Compound Semiconductor Materials and Devices, School of Physics & Information Science, Shaanxi University of Science and Technology, Xi'an, 710021, P. R. China.

Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering, Taiyuan, 030024, P. R. China.

出版信息

Adv Sci (Weinh). 2024 Aug;11(29):e2403665. doi: 10.1002/advs.202403665. Epub 2024 Jun 3.

DOI:10.1002/advs.202403665
PMID:38828870
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11304314/
Abstract

The development of high-performance artificial synaptic neuromorphic devices poses a significant challenge in the creation of biomimetic sensing neural systems that seamlessly integrate both sensory and computational functionalities. In pursuit of this objective, promising bionic opto-olfactory co-sensory artificial synapse devices are constructed utilizing the BP-C/CNT (2D/1D) hybrid filter membrane as the resistive layer. Experimental results demonstrated that the devices seamlessly integrated the light modulation, gas detection, and biological synaptic functions into a single device while addressing the challenge with separating artificial synaptic devices from sensors. These devices offered the following advantages: 1) Simulating visual synapses, they can effectively replicate fundamental synaptic functions under both electrical and optical stimulation. 2) By emulating olfactory synapse responses to specific gases, they can achieve ultra-low detection limits and rapid identification of ethanol and acetone gases. 3) They enable photo-olfactory co-sensing simulations that mimic synaptic function under light-modulated pulse conditions in distinct gas environments, facilitating the study of synaptic learning rules and Pavlovian responses. This work provides a pioneering approach for exploring highly stable 2D BP-based optoelectronics and advancing the development of biomimetic neural systems.

摘要

高性能人工突触神经形态器件的发展在创建仿生传感神经系统方面提出了重大挑战,这些系统需要无缝集成传感和计算功能。为了实现这一目标,利用 BP-C/CNT(二维/一维)混合滤膜作为电阻层,构建了有前途的仿生光电协同传感人工突触器件。实验结果表明,该器件将光调制、气体检测和生物突触功能集成到单个器件中,同时解决了将人工突触器件与传感器分离的挑战。这些器件具有以下优点:1)模拟视觉突触,它们可以在电和光刺激下有效地复制基本的突触功能。2)通过模拟嗅觉突触对特定气体的响应,它们可以实现超低检测限和对乙醇和丙酮气体的快速识别。3)它们能够进行光-嗅协同传感模拟,在不同气体环境下模拟光调制脉冲条件下的突触功能,有助于研究突触学习规则和巴甫洛夫反应。这项工作为探索高度稳定的基于二维 BP 的光电技术提供了一种开创性的方法,并推进了仿生神经系统的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc83/11304314/d1840943fa7c/ADVS-11-2403665-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc83/11304314/d1840943fa7c/ADVS-11-2403665-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc83/11304314/d1840943fa7c/ADVS-11-2403665-g003.jpg

相似文献

1
Highly Promising 2D/1D BP-C/CNT Bionic Opto-Olfactory Co-Sensory Artificial Synapses for Multisensory Integration.高度有前途的二维/一维 BP-C/CNT 仿生光嗅觉协同人工突触用于多感觉整合。
Adv Sci (Weinh). 2024 Aug;11(29):e2403665. doi: 10.1002/advs.202403665. Epub 2024 Jun 3.
2
Inhibitory artificial synapses based on photoelectric co-modulation of graphene/WSevan der Waals heterojunctions.基于石墨烯/WSevan der Waals 异质结的光电协同调制的抑制型人工突触。
Nanotechnology. 2023 Oct 4;34(50). doi: 10.1088/1361-6528/acf82d.
3
Organic Synapses for Neuromorphic Electronics: From Brain-Inspired Computing to Sensorimotor Nervetronics.用于神经形态电子学的有机突触:从脑启发计算到感觉运动神经电子学。
Acc Chem Res. 2019 Apr 16;52(4):964-974. doi: 10.1021/acs.accounts.8b00553. Epub 2019 Mar 21.
4
Artificial Neuron and Synapse Devices Based on 2D Materials.基于二维材料的人工神经元和突触器件。
Small. 2021 May;17(20):e2100640. doi: 10.1002/smll.202100640. Epub 2021 Apr 4.
5
Mimicking Biological Synaptic Functionality with an Indium Phosphide Synaptic Device on Silicon for Scalable Neuromorphic Computing.用硅上的磷化铟突触器件模拟生物突触功能,实现可扩展的神经形态计算。
ACS Nano. 2018 Feb 27;12(2):1656-1663. doi: 10.1021/acsnano.7b08272. Epub 2018 Jan 17.
6
Multi-Stimuli-Responsive Synapse Based on Vertical van der Waals Heterostructures.基于垂直范德华异质结构的多刺激响应突触
ACS Appl Mater Interfaces. 2022 Aug 10;14(31):35917-35926. doi: 10.1021/acsami.2c08335. Epub 2022 Jul 26.
7
Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics.用于计算、软体机器人技术和神经义肢的灵活神经形态电子学。
Adv Mater. 2020 Apr;32(15):e1903558. doi: 10.1002/adma.201903558. Epub 2019 Sep 26.
8
A pattern recognition artificial olfactory system based on human olfactory receptors and organic synaptic devices.基于人类嗅觉受体和有机突触器件的模式识别人工嗅觉系统。
Sci Adv. 2024 May 24;10(21):eadl2882. doi: 10.1126/sciadv.adl2882. Epub 2024 May 23.
9
Highly Sensitive, Low-Energy-Consumption Biomimetic Olfactory Synaptic Transistors Based on the Aggregation of the Semiconductor Films.基于半导体膜聚集的高灵敏度、低能耗仿生嗅觉突触晶体管。
ACS Sens. 2024 May 24;9(5):2673-2683. doi: 10.1021/acssensors.4c00616. Epub 2024 Apr 30.
10
Ultralow-power flexible transparent carbon nanotube synaptic transistors for emotional memory.用于情感记忆的超低功耗柔性透明碳纳米管突触晶体管
Nanoscale. 2021 Jul 8;13(26):11360-11369. doi: 10.1039/d1nr02099d.

引用本文的文献

1
Mechanical Properties Analysis of Flexible Memristors for Neuromorphic Computing.用于神经形态计算的柔性忆阻器的机械性能分析
Nanomicro Lett. 2025 Jul 17;18(1):2. doi: 10.1007/s40820-025-01825-x.

本文引用的文献

1
Artificial Neuron Devices.人工神经元装置
Chem Rev. 2023 Dec 13;123(23):13796-13865. doi: 10.1021/acs.chemrev.3c00527. Epub 2023 Nov 17.
2
Soft Electronics for Health Monitoring Assisted by Machine Learning.机器学习辅助的用于健康监测的柔性电子器件。
Nanomicro Lett. 2023 Mar 15;15(1):66. doi: 10.1007/s40820-023-01029-1.
3
Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement.类脑仿生神经形态运动认知系统实现跨模态感知增强。
Nat Commun. 2023 Mar 11;14(1):1344. doi: 10.1038/s41467-023-36935-w.
4
Emerging Iontronic Neural Devices for Neuromorphic Sensory Computing.新兴的离子电子神经器件用于神经形态感觉计算。
Adv Mater. 2023 Sep;35(39):e2300329. doi: 10.1002/adma.202300329. Epub 2023 Aug 2.
5
A flexible artificial chemosensory neuronal synapse based on chemoreceptive ionogel-gated electrochemical transistor.基于化学感受离聚物门控电化学晶体管的柔性人工化学感觉神经元突触。
Nat Commun. 2023 Feb 14;14(1):821. doi: 10.1038/s41467-023-36480-6.
6
Optical synaptic devices with ultra-low power consumption for neuromorphic computing.用于神经形态计算的超低功耗光学突触器件。
Light Sci Appl. 2022 Nov 29;11(1):337. doi: 10.1038/s41377-022-01031-z.
7
A calibratable sensory neuron based on epitaxial VO for spike-based neuromorphic multisensory system.基于外延 VO 的可校准感觉神经元用于基于尖峰的神经形态多感觉系统。
Nat Commun. 2022 Jul 8;13(1):3973. doi: 10.1038/s41467-022-31747-w.
8
Robust and Low-Power-Consumption Black Phosphorus-Graphene Artificial Synaptic Devices.坚固且低功耗的黑磷-石墨烯人工突触器件
ACS Appl Mater Interfaces. 2022 May 11;14(18):21242-21252. doi: 10.1021/acsami.2c03667. Epub 2022 May 2.
9
Fully Printed Optoelectronic Synaptic Transistors Based on Quantum Dot-Metal Oxide Semiconductor Heterojunctions.基于量子点-金属氧化物半导体异质结的全印刷光电突触晶体管。
ACS Nano. 2022 Jun 28;16(6):8651-8661. doi: 10.1021/acsnano.2c00439. Epub 2022 Apr 22.
10
A Heterogeneously Integrated Spiking Neuron Array for Multimode-Fused Perception and Object Classification.用于多模式融合感知和目标分类的异质集成 Spike 神经元阵列。
Adv Mater. 2022 Jun;34(24):e2200481. doi: 10.1002/adma.202200481. Epub 2022 May 13.