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

Propagation of Action Potentials01:23

Propagation of Action Potentials

10.3K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
10.3K
Deactivation Processes: Jablonski Diagram01:25

Deactivation Processes: Jablonski Diagram

2.0K
Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...
2.0K
Action Potentials01:41

Action Potentials

145.4K
Overview
145.4K
Activation and Inactivation of G Proteins01:22

Activation and Inactivation of G Proteins

12.0K
Heterotrimeric G proteins are guanine nucleotide-binding proteins. As the name suggests, heterotrimeric G proteins are composed of three subunits: alpha, beta, and gamma. They remain GDP-bound or GTP-bound inside the cells and switch between inactive/active states. The Gα subunit possesses the nucleotide-binding pocket that binds guanine nucleotides and switches between GDP or GTP-bound states. In contrast, the Gꞵ and Gγ subunits are always bound together with high...
12.0K
Classification of Signals01:30

Classification of Signals

1.5K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.5K
Neural Circuits01:25

Neural Circuits

3.0K
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...
3.0K

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

A Novel DT40 Antibody Library for the Generation of Monoclonal Antibodies.

Virologica Sinica·2019
Same author

Pre-pregnancy maternal fasting plasma glucose levels in relation to time to pregnancy among the couples attempting first pregnancy.

Human reproduction (Oxford, England)·2019
Same author

Fast and accurate decoding of Raman spectra-encoded suspension arrays using deep learning.

The Analyst·2019
Same author

Pharmacokinetic and exposure-response analysis of pertuzumab in patients with HER2-positive metastatic gastric or gastroesophageal junction cancer.

Cancer chemotherapy and pharmacology·2019
Same author

Identification of diagnostic long non‑coding RNA biomarkers in patients with hepatocellular carcinoma.

Molecular medicine reports·2019
Same author

Ion-chelation based digital barcodes for multiplexing of a suspension array.

The Analyst·2019
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
查看所有相关文章

相关实验视频

Updated: Mar 4, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

道探索器:通过激活道可视化探索类分离性

Md Rahat-Uz- Zaman, Bei Wang, Paul Rosen

    IEEE transactions on visualization and computer graphics
    |March 2, 2026
    PubMed
    概括
    此摘要是机器生成的。

    频道探索器 (ChannelExplorer) 是一种视觉分析工具,通过探索类分离性来帮助理解深度神经网络 (DNN). 它有助于识别错误标记的图像,并了解跨各种模型架构的激活通道.

    更多相关视频

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.6K
    Classification of Neural Stem Cell Activation State In Vitro using Autofluorescence
    06:56

    Classification of Neural Stem Cell Activation State In Vitro using Autofluorescence

    Published on: April 12, 2024

    1.1K

    相关实验视频

    Last Updated: Mar 4, 2026

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.7K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.6K
    Classification of Neural Stem Cell Activation State In Vitro using Autofluorescence
    06:56

    Classification of Neural Stem Cell Activation State In Vitro using Autofluorescence

    Published on: April 12, 2024

    1.1K

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 数据可视化 数据可视化

    背景情况:

    • 深度神经网络 (DNN) 在视觉任务中表现出色,但它们的内部运作,特别是类分离能力,人们对其了解甚少.
    • 分析激活通道和层贡献对于解释DNN行为至关重要.

    研究的目的:

    • 介绍ChannelExplorer,这是一个用于分析DNN的交互式视觉分析工具.
    • 专注于数据驱动的洞察力,以探索跨模型层的类分离性.
    • 支持理解各种模型架构,如CNN,GAN,ResNet和稳定扩散.

    主要方法:

    • ChannelExplorer提供了数据集层面的概述,逐步钻入单个示例.
    • 使用三个协调视图:Scatterplot视图用于类混,Jaccard相似性视图用于激活重叠,以及热图视图用于通道模式.
    • 总结了跨模型层的激活,揭示了对类可分化的洞察力.

    主要成果:

    • 展示了 ChannelExplorer 在生成 ImageNet 类层次结构中的实用性.
    • 成功使用该工具在数据集中找到错误标记的图像.
    • 启用了特定激活通道对模型性能贡献的识别.
    • 在稳定扩散模型中方便定位潜态.

    结论:

    • ChannelExplorer提供了一种新的方法来理解DNN,通过视觉分析专注于类可分离性.
    • 该工具是多功能,支持各种深度学习架构和用例.
    • 专家用户评估证实了该工具在为DNN行为提供可操作的见解方面的有效性.