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

663
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...
663
Neuroplasticity01:01

Neuroplasticity

264
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
264
Energy Stored in Capacitors01:10

Energy Stored in Capacitors

416
A parallel plate capacitor, when connected to a battery, develops a potential difference across its plates. This potential difference is key to the operation of the capacitor, as it determines how much electrical energy the capacitor can store.
By integrating the equation that relates voltage and current in a capacitor, one can derive an equation for the voltage across the capacitor at any given time. This equation is crucial in understanding and predicting the behavior of capacitors in...
416
Neural Circuits01:25

Neural Circuits

967
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
967
Long-term Potentiation01:35

Long-term Potentiation

54.6K
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.
54.6K
Integration of Synaptic Events01:28

Integration of Synaptic Events

1.4K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability...
1.4K

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

Interpretable ensemble learning framework for shear strength assessment of corroded reinforced concrete beams.

Scientific reports·2026
Same author

Transport of functionalized nanoplastics in goethite-coated saturated porous media: Synergistic effect of polyacrylamide coupled with solution chemistry.

Journal of hazardous materials·2026
Same author

Transport of nanoplastics in saturated porous media: Synergy of particle size, surface functional groups, and low molecular weight organic acids.

Journal of hazardous materials·2026
Same author

Structure, performance and tissue repair evaluation of biodegradable core-sheath fiber patch loaded with curcumin nano-micelles.

Biomaterials advances·2025
Same author

Transport of reduced PBAT microplastics in saturated porous media: Synergistic effects of enhanced surface energy and roughness.

Water research·2024
Same author

Comprehensively Modulated Sub-Attojoule Operated Optoelectronic Synapses for Image Encryption and Inpainting.

ACS applied materials & interfaces·2024
Same journal

Multi-tissue Metabolic GWAS and Drought-Responsive Multi-omics Reveal the Genetic Basis of the Quinoa Metabolome.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Bioinspired Multifunctional Flexible C-SiC Fibrous Aerogel for Superior Electromagnetic Interference Shielding Under Extreme Environments.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

RHINO: An Integrative Multi-Omics Framework Linking Circadian Physiology to Precision Medicine.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

From Chatbots to Co-Scientists: The Impact of Knowledge-Generating AI (AI 4.0) on Healthcare and Research.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Cobalt Single-Atom Nanozyme for Enhanced Intestinal Radioprotection and Tumor Radiosensitization via Bidirectional ROS Modulation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
查看所有相关文章

相关实验视频

Updated: May 23, 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

7.7K

神经形态计算使用超级电容器的突触可塑性.

Ling Wang1,2,3, Xing Liu1,2, Guangcai Zhang1,2

  • 1School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|March 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用MXene Ti3C2Tx超级电容器的新型神经形态计算途径. 这些设备展示了可调节的突触可塑性,在识别盲文数字方面达到100%的准确性,为节能的人工智能铺平了道路.

关键词:
人工神经网络的人工神经网络布莱尔字识别系统 布莱尔字识别系统衍射深度神经网络是一种射神经网络.神经形态计算是一种神经形态计算.塑性的可塑性 塑性超级电容器是一个超级电容器.

更多相关视频

Synthesizing a Gel Polymer Electrolyte for Supercapacitors, Assembling a Supercapacitor Using a Coin Cell, and Measuring Gel Electrolyte Performance
08:59

Synthesizing a Gel Polymer Electrolyte for Supercapacitors, Assembling a Supercapacitor Using a Coin Cell, and Measuring Gel Electrolyte Performance

Published on: November 30, 2022

4.4K
Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System
12:00

Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System

Published on: January 7, 2022

11.9K

相关实验视频

Last Updated: May 23, 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

7.7K
Synthesizing a Gel Polymer Electrolyte for Supercapacitors, Assembling a Supercapacitor Using a Coin Cell, and Measuring Gel Electrolyte Performance
08:59

Synthesizing a Gel Polymer Electrolyte for Supercapacitors, Assembling a Supercapacitor Using a Coin Cell, and Measuring Gel Electrolyte Performance

Published on: November 30, 2022

4.4K
Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System
12:00

Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System

Published on: January 7, 2022

11.9K

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:

  • 神经形态计算系统需要高效的信号处理来进行人工智能 (AI) 识别.
  • 目前的系统面临高能耗,由于响应增强和抑郁.
  • 开发节能的大脑类计算是一个关键的挑战.

研究的目的:

  • 介绍一种使用超级电容器的新型神经形态计算途径.
  • 为了证明MXene Ti3C2Tx超级电容器中的可调节的突触可塑性.
  • 展示该系统在高精度识别布莱尔数字中的应用.

主要方法:

  • 制造MXene Ti3C2Tx超级电容器. 这些超级电容器的制造.
  • 电流刺激转换为可调节的电压反应,表现出突触可塑性.
  • 超级电容器电压响应的应用,用于使用人工神经网络和深神经网络识别盲文数字.

主要成果:

  • 在MXene Ti3C2Tx超级电容器中证明了可调节的突触可塑性 (响应增强/抑制).
  • 成功模仿了典型的突触行为,如短期记忆和配对脉冲促进.
  • 在通过电压响应表示并由神经网络处理时,在识别盲人数字0-9时达到100%的准确性.

结论:

  • 超级电容器可以作为神经形态计算中的能量存储设备.
  • 拟议的途径提供了一种创新的方法,用于开发节能的大脑类计算系统.
  • 这项研究强调了基于MXene的超级电容器在AI应用中的潜力.