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

Auditory Perception01:17

Auditory Perception

590
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
590
Auditory Pathway01:15

Auditory Pathway

5.8K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
5.8K

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

Epileptiform discharges are associated with increased theta activity over time in patients with Lewy body dementia.

Neuroscience·2026
Same author

Metabolomics reveal drought-stress responses in guayule, a semi-arid rubber crop.

Metabolomics : Official journal of the Metabolomic Society·2026
Same author

Comparative Efficacy of Continuous Versus Patch ECG Monitoring in Detecting Atrial Fibrillation Recurrence Post Catheter Ablation: Insights From the REAL-AF Registry.

Journal of cardiovascular electrophysiology·2026
Same author

Epileptiform discharges in neurodegenerative diseases linked to atrophy but not associated with iron depositions.

GeroScience·2026
Same author

Polyrhythms in the Brain: Metrical Priming, Acoustic Balance, and Perceptual Biases.

Annals of the New York Academy of Sciences·2026
Same author

Probing Spectral Masking With Auditory Steady-State Responses.

Ear and hearing·2026
Same journal

Ultrasound-Informed State Estimation of Wrist Tremor Dynamics via Koopman Operator for Personalized Sensory Peripheral Nerve Stimulation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Motion Intention Recognition and DDPG-Based Adaptive Impedance Control for a Robotic Upper-Limb Exoskeleton.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

CNN-Based Modelling Reveals Temporal Brain Dynamics of Auditory Intensity Processing.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Pathology-Informed Augmentation Improves Cross-Cohort IMU-to-vGRF Estimation Between Healthy Adults and Adults With Osteoarthritis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Effects of task-driven head orientations on gait and balance during walking in virtual reality.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Wearable sensor-based Mild Cognitive Impairment Identification: A Multi-Domain Gait Analysis Approach with Association Rule Mining.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
查看所有相关文章

相关实验视频

Updated: Sep 16, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.8K

AADNet:一个端到端的深度学习模型,用于听觉注意力解码.

Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |July 9, 2025
    PubMed
    概括
    此摘要是机器生成的。

    使用脑电图 (EEG) 的听觉注意力解码 (AAD) 现在可以通过AADNet改进,这是一个新的深度学习模型. 这种端到端的方法提高了在杂的环境中辅导语音的识别,有利于神经引导式听力设备.

    更多相关视频

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    4.1K
    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    11.1K

    相关实验视频

    Last Updated: Sep 16, 2025

    Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
    08:45

    Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

    Published on: October 24, 2012

    14.8K
    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    4.1K
    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
    11:14

    A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

    Published on: October 4, 2015

    11.1K

    科学领域:

    • 神经科学是一个神经科学.
    • 信号处理 信号处理
    • 机器学习 机器学习

    背景情况:

    • 听觉注意力解码 (AAD) 识别了使用电脑电图 (EEG) 在多说话者环境中的听话语.
    • 目前的AAD算法通常使用基于对语音包裹的神经携带的两步方法.
    • 对于神经引导式听力设备而言,AAD具有显著的潜力.

    研究的目的:

    • 提出和评估AADNet,一个新的端到端深度学习架构用于听觉注意力解码.
    • 将AADNet的性能与传统的刺激解码方法进行比较.
    • 评估AADNet在主题特定和主题独立场景中的有效性.

    主要方法:

    • 开发了AADNet,这是一个结合预测和识别阶段的端到端神经网络.
    • 将AADNet与线性刺激重建,正规相关性分析和非线性刺激重建进行比较.
    • 使用三个不同的脑电图 (EEG) 数据集验证了该方法.

    主要成果:

    • 与传统方法相比,AADNet表现出了显著的性能改善.
    • 在数据集和窗口长度之间实现了高主体独立分类准确度,从56.3%到89.4%不等.
    • 显示出对从未见过的对象获得的数据进行概括的卓越能力.

    结论:

    • 拟议的AADNet提供了一种更直接,更有效的方法来解码听觉注意力.
    • 深度学习模型对推进AAD技术有很大的前景.
    • 结果对未来助听器和辅助设备的开发具有有希望的意义.