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

Association Areas of the Cortex01:21

Association Areas of the Cortex

5.4K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.4K
Parallel Processing01:20

Parallel Processing

152
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
152
Prosopagnosia01:24

Prosopagnosia

170
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
170

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

Higher-order synergy-based ranking in transcriptomic communities via latent factors and O-information.

Physics in medicine and biology·2026
Same author

Neurocognitive performance and appetite-regulating hormones in obesity with and without eating disorders: A comprehensive review and empirical analysis.

Reviews in endocrine & metabolic disorders·2026
Same author

Correction: CiftiStorm pipeline: facilitating reproducible EEG/MEG source connectomics.

Frontiers in neuroscience·2026
Same author

Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies.

Entropy (Basel, Switzerland)·2025
Same author

Discriminative Power of the Serious Game Attention Slackline in Children and Adolescents With and Without Attention-Deficit/Hyperactivity Disorder: Validation Study.

JMIR serious games·2025
Same author

Assessing high-order effects in feature importance via predictability decomposition.

Physical review. E·2025

相关实验视频

Updated: Jul 5, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.0K

通过面孔和名字来处理熟悉性:来自多像素模式分析的见解

Ana Maria Castro-Laguardia1, Marlis Ontivero-Ortega1, Cristina Morato2

  • 1Department of Cognitive and Social Neuroscience, Cuban Center for Neurosciences (CNEURO), Rotonda La Muñeca, 15202 Avenida 25, La Habana 11600, Cuba.

Brain sciences
|January 22, 2024
PubMed
概括

大脑使用抽象的熟悉区域来识别熟悉的面孔和名字. 特定区域也处理面部熟悉性,面部与名字的激活模式不同.

关键词:
面对面的面对面的面对面.熟悉度处理 熟悉度处理多维素模式分析分析

更多相关视频

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.4K
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.5K

相关实验视频

Last Updated: Jul 5, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.0K
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.4K
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.5K

科学领域:

  • 神经科学是一个神经科学.
  • 认知神经科学 认知神经科学

背景情况:

  • 个人熟悉感的基础的神经机制仍然不完全理解.
  • 区分对不同类型的刺激的熟悉性处理,如面孔和名字,对于理解识别记忆至关重要.

研究的目的:

  • 研究涉及处理面孔和名字的个人熟悉度的大脑区域.
  • 确定支持抽象熟悉度 (类别独立) 和类别特定熟悉度 (面部特定) 的领域.

主要方法:

  • 在fMRI数据上使用搜索灯多维素模式分析 (MVPA).
  • 检查了当地的fMRI模式,以检测面孔和名字的熟悉性.
  • 采用交叉分类技术来识别抽象的熟悉区域.

主要成果:

  • 在额叶,叶,带状皮层和岛屿皮层中确定了抽象的熟悉区域.
  • 在状回,额叶和叶中发现了右侧化的区域,用于面部熟悉.
  • 与熟悉的面孔相比,观察到熟悉的名字的激活通常较弱.

结论:

  • 大脑使用抽象的熟悉机制和特定类别的区域进行识别.
  • 独特的神经基质支持熟悉的面孔和名字的处理.
  • 这些发现有助于理解识别熟悉个体的神经基础.