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

Neural Regulation01:37

Neural Regulation

34.6K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
34.6K
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

T cell-derived IFN-γ Suppresses T Follicular Helper Cell Differentiation and Antibody Responses.

bioRxiv : the preprint server for biology·2025
Same author

T-cell-derived IFN-γ suppresses T follicular helper cell differentiation and antibody responses.

The EMBO journal·2025
Same author

Neural shape completion for personalized Maxillofacial surgery.

Scientific reports·2024
Same author

Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Self-supervised depth super-resolution with contrastive multiview pre-training.

Neural networks : the official journal of the International Neural Network Society·2023
Same author

Learning Good Features to Transfer Across Tasks and Domains.

IEEE transactions on pattern analysis and machine intelligence·2023
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: Apr 29, 2026

Super-resolution Imaging of Neuronal Dense-core Vesicles
09:30

Super-resolution Imaging of Neuronal Dense-core Vesicles

Published on: July 2, 2014

9.7K

神经不平等精细化 神经不平等精细化

Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez

    IEEE transactions on pattern analysis and machine intelligence
    |June 7, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的神经网络框架,可以从立体图像中改进差异地图. 它将传统方法与深度学习相结合,以获得高分辨率的输出,在零射击泛化方面表现出色.

    更多相关视频

    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
    05:49

    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

    Published on: November 1, 2024

    770
    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
    05:28

    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

    Published on: August 9, 2024

    1.1K

    相关实验视频

    Last Updated: Apr 29, 2026

    Super-resolution Imaging of Neuronal Dense-core Vesicles
    09:30

    Super-resolution Imaging of Neuronal Dense-core Vesicles

    Published on: July 2, 2014

    9.7K
    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
    05:49

    Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

    Published on: November 1, 2024

    770
    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
    05:28

    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

    Published on: August 9, 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
    • 图像处理 图像处理

    背景情况:

    • 不平等地图生成对于3D重建和深度感知至关重要.
    • 现有的方法经常在高分辨率输出或跨不同数据源的概括方面扎.
    • 在移动设备中常见的不平衡立体声设置带来了额外的挑战.

    研究的目的:

    • 开发一个多功能框架来增强来自各种来源的差异地图.
    • 为了实现高质量,高分辨率的差异地图精细化.
    • 为了在各种立体成像条件下实现强大的性能,包括不平衡的设置.

    主要方法:

    • 一个神经差异精细化网络,采用连续特征采样策略.
    • 集成传统的手工制造算法与深度学习技术.
    • 设计用于处理经典立体算法,现代神经网络和结构从运动管道的差异地图的框架.

    主要成果:

    • 拟议的框架成功地生成了高质量,高分辨率的差距地图.
    • 在与经典立体算法相结合时,从合成图像到真实图像展示了强大的零射击概括能力.
    • 有效地处理不平衡的立体声设置,这是手机摄像头中常见的问题.

    结论:

    • 神经差异精细化网络为增强立体图像差异提供了灵活而强大的解决方案.
    • 连续特征采样方法允许任意输出分辨率和改进的泛化.
    • 该框架的适应性使其适用于广泛的应用,包括移动深度传感.