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

Biasing of FET01:22

Biasing of FET

203
Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the...
203
MOSFET01:16

MOSFET

402
The Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) plays a pivotal role in modern electronics thanks to its versatility and efficiency in controlling electrical currents. This device, also known as IGFET, MISFET, and MOSFET, has three main terminals: the Source, Drain, and Gate. MOSFETs are classified into n-channel or p-channel types based on the doping characteristics of their substrate and the source or drain regions.
In an n-MOSFET, the structure includes n-type source and drain...
402
Voltage Doubler Circuit01:23

Voltage Doubler Circuit

440
A voltage doubler circuit integrates two main components: a clamping section and a rectifier section. The clamping section consists of a capacitor (C1) and a diode (D1), whereas the rectifier section is equipped with another diode (D2) and capacitor (C2). This circuit produces an output voltage with twice the amplitude of the sinusoidal input voltage.
440
Design Example: Capacitance Multiplier Circuit01:20

Design Example: Capacitance Multiplier Circuit

668
In integrated circuit technology, a capacitance multiplier is often utilized to produce a larger capacitance value when a small physical capacitance falls short. This is achieved by a circuit that multiplies capacitance values by a factor of up to 1000, such that a 10-pF capacitor can replicate the performance of a 100-nF capacitor.
The circuit illustrated in Figure 1 below incorporates two op-amps, with the first operating as a voltage follower and the second acting as an inverting amplifier.
668
Resistor in an AC Circuit01:31

Resistor in an AC Circuit

2.6K
An alternating emf or voltage source is needed to supply an alternating current (AC) to a circuit. A coil of wire rotating in a magnetic field at a constant angular speed represents such a source. It also generates a sinusoidal alternating emf and serves as an industrial alternator.
One-way current through the meter is measured using diodes. A diode is a device with better conductivity in one direction compared to the other; in its ideal state, it has zero resistance in one direction and allows...
2.6K
MOS Capacitor01:25

MOS Capacitor

666
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...
666

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

Multifunctional electrochemical memory stabilized by phase coexistence.

Science advances·2026
Same author

Diffusive memristors in the edge of chaos.

Nature communications·2026
Same author

Printed devices turn neuromorphic.

Nature nanotechnology·2026
Same author

An Atom-Precise Approach to Damp First-Order Phase Transitions and Its Implications for Neuromorphic Signal Processing.

Journal of the American Chemical Society·2026
Same author

High-temperature memristors enabled by interfacial engineering.

Science (New York, N.Y.)·2026
Same author

Programmable ferroelectric rectifier for reliable and efficient neuromorphic crossbar array.

Nature communications·2026

相关实验视频

Updated: May 24, 2025

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

基于HfZrO的突触电阻电路用于超图灵智能系统.

Jungmin Lee1, Rahul Shenoy1, Atharva Deo1

  • 1Departments of Materials Science and Engineering, Mechanical and Aerospace Engineering, Electrical and Computer Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Science advances
|February 28, 2025
PubMed
概括

这项研究介绍了一种新型的大脑启发的超图灵机人工智能 (AI) 模型,使用突触电阻. 与传统的基于计算机的系统相比,这种新的AI在动态环境中展示了卓越的实时学习和适应能力.

更多相关视频

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

7.7K
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.4K

相关实验视频

Last Updated: May 24, 2025

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
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

7.7K
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.4K

科学领域:

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

背景情况:

  • 传统的图灵模型计算机在AI任务中的适应性和效率方面扎.
  • 现有的人工智能 (AI) 算法缺乏实时学习和适应能力.
  • 人类大脑表现出卓越的并发学习和适应能力.

研究的目的:

  • 开发一个由大脑启发的超级图灵人工智能模型,同时进行实时推断和学习.
  • 克服当前AI在适应性,学习延迟和功耗方面的局限性.
  • 通过突触电阻电路演示一种新的AI方法.

主要方法:

  • 开发了一个超级图灵人工智能模型,利用突触电阻电路.
  • 集成的铁电氧化 (HfZrO) 材料进入了突触电阻.
  • 在模拟无人机导航任务中测试了电路的性能,并避免了障碍物.

主要成果:

  • 突触电阻电路在没有事先训练的情况下展示了并发的实时推断和学习.
  • 人工智能模型成功地将无人机导航到目标,同时避免障碍物.
  • 与基于计算机的人工神经网络相比,实现了显著更快的学习速度,更好的性能,更低的功耗和更好的适应性.

结论:

  • 交感电阻电路为高效和适应性超级图灵人工智能系统提供了一条途径.
  • 这种由大脑启发的方法非常适合不确定和动态的现实世界环境.
  • 开发的AI模型显示了先进机器人和自主系统的潜力.