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

相关实验视频

Updated: Jul 4, 2025

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.3K

自主监督的变压器模型培训,用于睡眠EEG基础模型.

Mattson Ogg, William G Coon

    bioRxiv : the preprint server for biology
    |January 31, 2024
    PubMed
    概括
    此摘要是机器生成的。

    新的人工智能模型可以从睡眠数据中学到比传统方法更多的东西. 这种方法揭示了隐藏的健康信息,改善了睡眠分析,并可能揭示大脑健康生物标志物.

    相关概念视频

    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

    Estimation of neuronal tuning for word meaning from passively recorded naturalistic speech.

    bioRxiv : the preprint server for biology·2026
    Same author

    Sleep EEG foundation models reveal within-stage microstructure that improves health screening beyond traditional stages.

    Research square·2026
    Same author

    A flexible behavioral method for measuring human and artificial intelligence alignment using representational similarity analysis.

    iScience·2026
    Same author

    Sleep spindles reveal sexually dimorphic trajectories of long-term bodily pain: a large-scale secondary analysis with implications for clinical biomarker development.

    Sleep·2026
    Same author

    Self-supervised speech quality assessment (S3QA): Leveraging speech foundation models for a scalable speech quality metric.

    The Journal of the Acoustical Society of America·2026
    Same author

    Editorial: Methods to modulate sleep with neurotechnology, devices, or wearables.

    Frontiers in neuroscience·2026

    科学领域:

    • 神经科学是一个神经科学.
    • 人工智能的人工智能
    • 睡眠医学 睡眠医学

    背景情况:

    • 目前的睡眠阶段 (例如,美国睡眠医学学会的5个州) 提供了对复杂睡眠神经生理学的有限观点.
    • 需要先进的,数据驱动的方法来从神经生理学睡眠信号中提取更深入的见解.

    结论:

    • 自主监督学习可以自动提取传统睡眠分阶段方案可能错过的有价值的信息.
    • 这种方法为新的睡眠分类系统和对睡眠和大脑健康的数据驱动调查铺平了道路.

    更多相关视频

    Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
    04:54

    Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

    Published on: November 8, 2024

    519
    Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection
    08:08

    Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

    Published on: May 31, 2024

    884

    相关实验视频

    Last Updated: Jul 4, 2025

    Cortical Source Analysis of High-Density EEG Recordings in Children
    09:32

    Cortical Source Analysis of High-Density EEG Recordings in Children

    Published on: June 30, 2014

    21.3K
    Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
    04:54

    Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

    Published on: November 8, 2024

    519
    Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection
    08:08

    Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

    Published on: May 31, 2024

    884