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

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
Types of Semiconductors01:20

Types of Semiconductors

1.8K
Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
1.8K
Electrochemical Systems01:24

Electrochemical Systems

179
Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution,...
179

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

Accuracy of splenic stiffness measurement for predicting clinically significant varices in children with portal hypertension: a systematic review and diagnostic test accuracy meta-analysis.

BMJ open gastroenterology·2026
Same author

Interface and Thermophysical Properties of <i>R</i>32 Refrigerant.

ACS omega·2026
Same author

Circumportal Pancreas During Pancreaticoduodenectomy: Radiologic Recognition and Surgical Considerations.

ANZ journal of surgery·2026
Same author

EUS-guided coil and cyanoacrylate glue embolisation as a rescue for endovascular inaccessible splenic artery pseudoaneurysms in chronic pancreatitis.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]·2026
Same author

Long-Range Dispersion Governs the Behavior of Near-Critical Fluids: Universal Scaling and Implications for Accurate Molecular Simulation.

The journal of physical chemistry letters·2026
Same author

Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates.

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

相关实验视频

Updated: May 3, 2026

Optical Control of Living Cells Electrical Activity by Conjugated Polymers
10:16

Optical Control of Living Cells Electrical Activity by Conjugated Polymers

Published on: January 28, 2016

7.6K

质子导电神经形态材料和设备

Yifan Yuan1, Ranjan Kumar Patel1, Suvo Banik2,3

  • 1Department of Electrical & Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.

Chemical reviews
|July 22, 2024
PubMed
概括

材料中的质子兴奋剂通过模仿生物神经功能为节能神经形态计算提供了一个有前途的途径. 这篇评论探讨了用于人工智能硬件的基于质子的设备.

更多相关视频

Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology
09:58

Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology

Published on: July 21, 2018

23.1K
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

相关实验视频

Last Updated: May 3, 2026

Optical Control of Living Cells Electrical Activity by Conjugated Polymers
10:16

Optical Control of Living Cells Electrical Activity by Conjugated Polymers

Published on: January 28, 2016

7.6K
Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology
09:58

Syringe-injectable Mesh Electronics for Stable Chronic Rodent Electrophysiology

Published on: July 21, 2018

23.1K
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

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:

  • 生物大脑使用离子电流来处理信息,激发了神经形态计算.
  • 节能的人工智能硬件旨在模拟生物神经电路.
  • 在电场下的质子流动性为神经形态设备提供了一个新的机制.

研究的目的:

  • 审查质子在生物系统中的作用及其在神经形态计算中的潜力.
  • 讨论用于神经形态结构材料中的质子兴奋剂的实验方法和机制.
  • 要突出先进的表征技术和理论方法来理解这些材料中的质子行为.

主要方法:

  • 对作为神经递质的质子生物类型的综述.
  • 在无机和有机材料中进行质子兴奋剂的实验方法的讨论.
  • 基于同步光谱学的概述,散射技术,以及用于表征的第一原则计算.

主要成果:

  • 导电材料中的质子兴奋剂可以模拟生物神经功能.
  • 先进的光谱和散射技术对于在固体矩阵中表征气至关重要.
  • 第一原理计算提供了对质子迁移和电子结构的见解.

结论:

  • 以质子为基础的神经形态电子具有节能人工智能的巨大潜力.
  • 需要进一步的研究来克服先进的神经形态应用中质子兴奋剂的科学挑战.
  • 了解质子迁移和电子效应是开发下一代神经形态硬件的关键.