Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Transcriptional signatures of cortical morphometric variability in temporal lobe epilepsy.

Epilepsia open·2026
Same author

Sacral nerve stimulation modulates disease activity and autonomic function in active rheumatoid arthritis: a randomized pilot study.

Clinical rheumatology·2026
Same author

Ag-rich Ag-Au nanoshells based lateral flow immunoassay for rapid and sensitive detection of bovine viral diarrhea virus.

Mikrochimica acta·2026
Same author

Research progress of OTUD7B: from structural function and disease mechanisms to clinical translation.

Frontiers in immunology·2026
Same author

Efficacy and Safety of Dupilumab in Chinese Adult Patients With Chronic Rhinosinusitis With Nasal Polyps: A Randomized, Placebo-Controlled, Phase III Trial.

Allergy·2026
Same author

Trends in Asthma-Rhinitis Allergic Multimorbidity and Polysensitization in China: The CARRAD Study.

MedComm·2026

相关实验视频

Updated: Jan 14, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

8.3K

基于Cs3Bi2Br9/NiO异构结构的高性能人工突触设备,用于生物启发的神经形态计算.

Xiuqing Cao1,2, Wenfei Li1, Qingqing Zheng1

  • 1School of Physics and Electronic Information, Guangxi Minzu University, Nanning 530006, People's Republic of China.

ACS applied materials & interfaces
|October 25, 2025
PubMed
概括

研究人员开发了一种无的矿记忆器,用于神经形态计算. 这种生物相容的人工突触显示出强大的突触功能和高精度的手写数字识别,为可持续的电子产品铺平了道路.

关键词:
在Cs3Bi2Br9/NiO异构结构中.人工突触 (Synapses) 是一个人工突触.离子迁移 离子迁移没有的矿石.神经形态计算是一种神经形态计算.

更多相关视频

Bridging the Bio-Electronic Interface with Biofabrication
16:38

Bridging the Bio-Electronic Interface with Biofabrication

Published on: June 6, 2012

17.3K
BioMEMS: Forging New Collaborations Between Biologists and Engineers
07:26

BioMEMS: Forging New Collaborations Between Biologists and Engineers

Published on: November 1, 2007

8.6K

相关实验视频

Last Updated: Jan 14, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

8.3K
Bridging the Bio-Electronic Interface with Biofabrication
16:38

Bridging the Bio-Electronic Interface with Biofabrication

Published on: June 6, 2012

17.3K
BioMEMS: Forging New Collaborations Between Biologists and Engineers
07:26

BioMEMS: Forging New Collaborations Between Biologists and Engineers

Published on: November 1, 2007

8.6K

科学领域:

  • 材料科学 材料科学 材料科学
  • 神经科学是一个神经科学.
  • 计算机工程 计算机工程

背景情况:

  • 神经形态计算需要节能,生物相容的人工突触.
  • 基矿虽然有效,但也引发了环境问题.
  • 基于石的矿提供了一个有希望的,环保的替代品.

研究的目的:

  • 为神经形态应用开发一种无人工突触.
  • 为了研究 Cs3Bi2Br9/NiO 异构结构记忆器的突触行为.
  • 评估开发的memristor的性能和稳定性.

主要方法:

  • 一个Cs3Bi2Br9/NiO异构结构记忆器的制造.
  • 记忆器的电阻切换属性的表征.
  • 评估突触功能和长期稳定性.
  • 在MNIST手写数字识别任务上测试性能.

主要成果:

  • Cs3Bi2Br9/NiO记忆器显示出强大的突触功能和稳定性.
  • 实现了电阻切换变化率低于7.37%和60天的环境稳定性.
  • 显示的记忆保留时间>7 × 10^3s和>100周期的耐用性.
  • 在MNIST识别中达到95.46%的准确性,优于传统模拟网络.

结论:

  • 无Cs3Bi2Br9/NiO异构结构是可持续的神经形态硬件的可行性.
  • 设计的异构结构增强了设备的稳定性和突触模拟性.
  • 这项工作为生物相容电子和先进的人工智能提供了一个可扩展的途径.