Jove
Visualize
联系我们

相关概念视频

Auditory Perception01:17

Auditory Perception

1.0K
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...
1.0K

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

Quantifying the effect of forest edge on tropical fauna using explainable ecoacoustics metricsa).

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

Listening with: Minds, machines, milieux, and music (L)a).

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

Rethinking ecoacoustic indices to advance understanding of the relationship between soundscapes and the environment (L)a).

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

Functional mapping of auditory responses to complex sounds under light anesthesia in rhesus macaques.

Open research Europe·2025
Same author

Sound offset responses become highly informative in the auditory cortex.

The Journal of physiology·2025
Same author

Voice identity invariance by anterior temporal lobe neurons.

Science advances·2025
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: Jan 13, 2026

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K

从非侵入性听觉皮层录音中重建语音身份.

Charly Lamothe1,2, Etienne Thoret1,2,3,4, Régis Trapeau1

  • 1La Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille University, Marseille, France.

eLife
|January 8, 2026
PubMed
概括

研究人员使用深度神经网络的语音潜伏空间 (VLS) 绘制了语音身份. 这种VLS有效地代表了时间语音区域 (TVA) 中的说话者身份,使语音重建成为可能.

关键词:
DNNs 是一个 DNN.计算生物学是计算生物学.功能磁力共振成像 (fMRI) 是一种人类 人类 人类 人类 人类 人类 人类神经科学 神经科学系统生物学 系统生物学时间语音区域.声音感知 语音感知声音重建语音的重建

更多相关视频

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

15.2K
Stereotactically-guided Ablation of the Rat Auditory Cortex, and Localization of the Lesion in the Brain
09:29

Stereotactically-guided Ablation of the Rat Auditory Cortex, and Localization of the Lesion in the Brain

Published on: October 11, 2017

12.1K

相关实验视频

Last Updated: Jan 13, 2026

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.0K
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

15.2K
Stereotactically-guided Ablation of the Rat Auditory Cortex, and Localization of the Lesion in the Brain
09:29

Stereotactically-guided Ablation of the Rat Auditory Cortex, and Localization of the Lesion in the Brain

Published on: October 11, 2017

12.1K

科学领域:

  • 神经科学是一个神经科学.
  • 听觉感知是一种听觉感知.
  • 在神经科学中的机器学习

背景情况:

  • 时间声区 (TVA) 在灵长类动物中处理同类声调.
  • 在TVA中,说话者身份的神经表达还没有得到很好的理解.

研究的目的:

  • 研究说话者身份如何在大脑中表现.
  • 探索深度神经网络衍生的语音潜伏空间 (VLS) 的实用性,以了解语音身份的神经表示.

主要方法:

  • 利用深度神经网络 (DNN) 创建一个语音潜伏空间 (VLS).
  • 采用编码,表示相似性和解码分析来将VLS与fMRI数据联系起来.
  • 分析了来自数百名演讲者的成千上万个声音刺激的反应.

主要成果:

  • VLS线性地映射到时间声区 (TVA) 的fMRI活动上.
  • 与初级听力皮层 (A1) 相比,VLS在TVA中更好地解释了发言者身份的表示几何学.
  • 使用VLS的基于TVA的重建保存了说话者的身份.

结论:

  • 从DNN衍生出的VLS在TVAs中提供了高层次的语音身份表示.
  • 这项研究促进了对用于语音识别的神经编码的理解.