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

Hearing01:31

Hearing

56.5K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
56.5K
Integration by Parts: Problem Solving01:29

Integration by Parts: Problem Solving

8
Smart speakers process voice commands by modeling audio inputs as piecewise functions and analyzing them through integration against trigonometric functions, such as cosine. This mathematical approach is fundamental in signal processing, where complex sound waves are decomposed into simpler frequency components.Consider a definite integral involving a piecewise function multiplied by a cosine function. Because the function is defined differently over separate intervals, the integral is split...
8
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

561
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
561
The Cochlea01:13

The Cochlea

50.5K
The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
50.5K
Perception of Sound Waves01:01

Perception of Sound Waves

5.4K
The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...
5.4K
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

940
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
940

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

Shared spatial and temporal principles govern connectome dynamics across timescales.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Animal acoustic communication has a conserved optimal rhythm within the neural delta range.

PLoS biology·2026
Same author

Dynamic states in a network of type-I Morris-Lecar neurons characterized using the metric framework.

Chaos (Woodbury, N.Y.)·2026
Same author

Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity.

Network neuroscience (Cambridge, Mass.)·2026
Same author

Languages evolve ergodically: Clarifications and responses.

Physics of life reviews·2026
Same author

Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy.

Imaging neuroscience (Cambridge, Mass.)·2026

相关实验视频

Updated: Jan 16, 2026

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.9K

基于节奏的层次预测计算支持语音处理中的声学语义转换.

Olesia Dogonasheva1,2,3, Keith B Doelling4, Denis Zakharov5

  • 1Group of Neural Theory Laboratoire des neurosciences cognitives et computationnelles INSERM U960, École Normale Supérieure PSL, Paris, France. odogonasheva@gmail.com.

Nature computational science
|September 26, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了基于脑节奏的推断模型 (BRyBI),以解释大脑节奏如何预测语音结构和内容. BRyBI模拟了听觉皮层中的神经过程,用于语音理解,匹配人类的表现.

更多相关视频

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

813
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.8K

相关实验视频

Last Updated: Jan 16, 2026

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.9K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

813
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.8K

科学领域:

  • 神经科学是一个神经科学.
  • 计算式听觉神经科学 计算式听觉神经科学
  • 语音处理 语音处理

背景情况:

  • 人类语言理解依赖于预测结构和内容,可能涉及大脑节奏.
  • 基于节奏的预测性语音处理的神经机制在很大程度上是未知的.

研究的目的:

  • 提出一种神经模型,即基于大脑节奏的推断模型 (BRyBI),用于听觉皮层的语音处理.
  • 阐明内生大脑节奏如何在预测编码框架内相互作用,以形成语音的上下文信息.
  • 解释人类语音识别性能和在语音感知过程中对大脑节奏的实验发现.

主要方法:

  • 开发了基于预测编码原则的基于脑节律的推断模型 (BRyBI).
  • 模拟了内源性大脑节律的相互作用,用于光谱时间语音解析和短语上下文形成.
  • 将模型预测与人类语音识别数据和实验观测进行了比较.

主要成果:

  • BRyBI成功地编码了节奏过程,将语音解析为语音,并形成短语上下文.
  • 该模型与语音识别任务中的人类表现模式保持一致.
  • BRyBI解释了在听语时观察到的大脑节律的变化,与不确定性和惊喜有关.

结论:

  • 多尺度大脑节奏在预测性语音处理中起着至关重要的计算作用.
  • 拟议的BRyBI提供了一个可信的神经实现基于节奏的语音理解在听觉皮层.
  • 了解大脑节奏相互作用是解读语音理解神经基础的关键.