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

MOS Capacitor01:25

MOS Capacitor

732
A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
732
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.2K
MOSFET: Enhancement Mode01:22

MOSFET: Enhancement Mode

300
Enhancement-mode MOSFETs are pivotal components in electronics, distinguished by their capacity to act as highly efficient switches. They are part of the larger family of metal-oxide Semiconductor Field-Effect Transistors (MOSFETs). They are available in two types: p-channel and n-channel, each tailored to specific polarity operations.
In their basic form, enhancement-mode MOSFETs are typically non-conductive when the gate-source voltage (Vgs) is zero. This default 'off' state means no...
300

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

Optical cooling by interfacial charge transfer in 2D heterostructures.

Nature·2026
Same author

An Artificial Dopamine-Ionic Cascade Synapse for Adaptive Neuromorphic Attention.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Ion-electron coupling in a MXene/silk nanofluidic hydrovoltaic device for enhanced electricity generation.

Materials horizons·2026
Same author

Bioinspired Leaky Integrate-and-Fire Neurons Enabled by Reconfigurable Hydrogel Memristors.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Author Correction: An iontronic reservoir for highly robust neuromorphic prosthesis.

Nature materials·2026
Same author

Ionic species programmable synaptic plasticity in multimodal nanofluidic devices.

National science review·2026

相关实验视频

Updated: Jun 13, 2025

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

7.8K

安格斯特罗姆尺度通道离子电子记忆器用于神经形态计算.

Guoheng Xu1, Hangyuan Cui2, Li Wang1

  • 1Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Institute of Innovative Materials, Southern University of Science and Technology (SUSTech), Shenzhen 518055, PR China.

ACS applied materials & interfaces
|May 28, 2025
PubMed
概括

研究人员开发了模仿大脑计算的人工离子通道记忆器. 这些设备表现出非线性离子传输,使人工神经网络能够节能识别图像.

关键词:
离子运输 离子运输 离子运输离子记忆器 离子记忆器离子电子电子电路 离子电子电路神经形态计算是一种神经形态计算.格斯特罗姆规模的道

更多相关视频

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.0K

相关实验视频

Last Updated: Jun 13, 2025

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

7.8K
A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.0K

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.
  • 纳米技术 纳米技术

背景情况:

  • 生物系统利用离子运输来进行高效的神经计算.
  • 具有 Ångström (Å) 维度的离子通道控制神经元中的离子流.
  • 频道中的非线性离子运输行为导致记忆性特性.

研究的目的:

  • 研究固态离子记忆器中非线性离子传输与人工离子通道特性之间的关系.
  • 开发基于人工 Å 尺度通道的新型离子记忆器.
  • 为了证明人工神经网络应用的突触功能.

主要方法:

  • 使用具有人工 Å 尺度通道的聚合物膜制造单极和双极离子记忆器.
  • 对因尺寸排除和离子壁相互作用而产生的电阻切换机制的分析.
  • 用于神经形态计算和图像识别的突触设备的配置.

主要成果:

  • 证明了具有可调节的基于表面电荷密度的电阻开关的离子记忆器.
  • 确定了协同效应的能量障碍,作为非线性离子传输的关键机制.
  • 成功模仿突触功能,通过人工神经网络实现节能图像识别.

结论:

  • 聚合物膜中的人工Å尺度通道可以有效地模仿生物离子通道功能.
  • 开发的离子记忆器为理解非线性离子运输动态提供了一个平台.
  • 这项研究为在水性介质中使用人工离子通道进行神经形态计算铺平了道路.