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相关概念视频

MOS Capacitor01:25

MOS Capacitor

837
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...
837
MOSFET: Enhancement Mode01:22

MOSFET: Enhancement Mode

378
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...
378
Characteristics of MOSFET01:17

Characteristics of MOSFET

417
Metal-oxide-semiconductor field-effect Transistors, or MOSFETs, play a critical role in electronic circuits. They are primarily utilized for amplifying and switching signals.
Various vital parameters influence their functionality, which is crucial for theory and electronics applications. First, channel dimensions, precisely length, and width, are pivotal. The size of these channels affects the transistor's ability to carry current and switching speeds; shorter channels typically enable...
417
MOSFET01:16

MOSFET

512
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...
512
Long-term Potentiation01:35

Long-term Potentiation

55.3K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
55.3K
Long-term Depression01:03

Long-term Depression

2.6K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
Calcium Ion Concentration Mechanism
If over...
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相关实验视频

Updated: Jul 18, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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多通道突触晶体管用于实现短期和长期记忆特征.

Myung-Hyun Baek1, Hyungjin Kim2

  • 1Department of Electronic Engineering, Gangneung-Wonju National University, Gangneung 25457, Republic of Korea.

Biomimetics (Basel, Switzerland)
|August 25, 2023
PubMed
概括

研究人员开发了一种新的四端突触晶体管,以克服硬件神经形态系统的局限性. 这种人工突触模仿生物功能,使先进的人工神经网络 (ANN) 算法.

科学领域:

  • 神经形态工程的神经形态工程
  • 材料科学 材料科学 材料科学
  • 计算机科学 计算机科学

背景情况:

  • 人工神经网络 (ANN) 的进展依赖于像ReLU.LU这样的激活功能.
  • ·诺伊曼架构限制了软件ANN (例如,CNN) 由于顺序处理.
  • 硬件中的尖端神经网络 (SNN) 提供了一个解决方案,基于memristor的人工突触是关键.

研究的目的:

  • 解决SNN硬件中双终端记忆器的限制.
  • 提出一个四端突触晶体管,具有不对称的双门结构.
  • 为神经形态计算开发具有增强功能的人工突触.

主要方法:

  • 设计和制造了一种具有不对称双门结构的四端突触晶体管.
  • 采用热载体注入 (HCI) 和福勒-诺德海姆 (FN) 道为重量调节.
  • 利用多晶粒边界来整合短期记忆的特性.

主要成果:

  • 拟议的设备可以作为人工突触,将输入信号乘以存储的重量.
  • 通过HCI和FN道机制证明了重量调制.
  • 通过使用多晶粒边界成功集成了短期记忆特征.
关键词:
在FN道道.谷物边界的谷物边界是什么神经形态计算是一种神经形态计算.多晶是一种多晶.突触装置是一种突触装置.

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相关实验视频

Last Updated: Jul 18, 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

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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

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A Method for Growing Bio-memristors from Slime Mold
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A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

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结论:

  • 四端突触晶体管克服了memristors的偷偷电流和反信号问题.
  • 该设备展示了短期和长期内存,对于复杂的ANN算法至关重要.
  • 这种突触装置促进了高效硬件神经形态系统的发展.