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: May 24, 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

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    一种新的自我监督学习方法可以从睡眠数据中提取比传统的睡眠分期更多的信息. 这种方法有助于理解睡眠信号中的神经和健康见解.

    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

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

    NPJ digital medicine·2026
    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

    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:

    • 美国睡眠医学学会 (AASM) 使用5类睡眠/清醒状态模式 (清醒,N1,N2,N3,REM).
    • 这个图表提供了高层次的概述,但可能会错过睡眠信号中的关键神经或健康信息.
    • 需要数据驱动的方法来分析复杂的睡眠神经生理学.

    研究的目的:

    • 开发一种自我监督的学习方法来分析神经生理学睡眠数据.
    • 调查这种方法是否可以发现超出标准AASM睡眠阶段的信息.
    • 评估模型在新任务和新数据上的灵活性和性能.

    主要方法:

    • 利用面具变压器训练程序,灵感来自语音转录模型.
    • 应用大量神经生理学睡眠数据的自我监督预训.
    • 对模型的性能与监督睡眠阶段分类进行了评估,并为新任务进行了微调.

    主要成果:

    • 自主监督的预训与监督的睡眠阶段分类准确度相匹配或超越,特别是在有限的数据或计算资源的情况下.
    • 预训练的模型表现出灵活性,在未见的EEG录音组合上表现良好.
    • 该模型成功地适应了新的任务,包括个人识别和大脑年龄量化.

    结论:

    • 现代的自我监督方法可以自动从睡眠数据中学习有价值的信息,这些信息可能会被当前的5类AASM模式忽视.
    • 这种方法为开发新型睡眠评分系统奠定了基础.
    • 这些发现支持进一步的数据驱动的睡眠探索,以发现新的生物标志物和理解睡眠的复杂性.

    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

    415
    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

    745

    相关实验视频

    Last Updated: May 24, 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

    415
    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

    745