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

Labeling Emotion01:20

Labeling Emotion

592
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
592
Physiology of Emotion01:20

Physiology of Emotion

3.1K
The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
3.1K
Associative Learning01:27

Associative Learning

1.2K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.2K

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

Reamed and unreamed intramedullary nailing for the treatment of open and closed tibial fractures: a subgroup analysis of randomised trials.

International orthopaedics·2009
Same author

Selective COX-2 inhibitor versus nonselective COX-1 and COX-2 inhibitor in the prevention of heterotopic ossification after total hip arthroplasty: a meta-analysis of randomised trials.

International orthopaedics·2009
Same author

[Study on evaluating sex determining region of the Y as an engrafting track of BMSCs transplantation for repairing osteonecrosis of the femoral head of rabbit].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2009
Same author

Positive association between benign familial infantile convulsions and LGI4.

Brain & development·2009
Same author

Catalytic enantioselective synthesis of chiral phthalides by efficient reductive cyclization of 2-acylarylcarboxylates under aqueous transfer hydrogenation conditions.

Organic letters·2009
Same author

Significance of urinary liver-fatty acid-binding protein in cardiac catheterization in patients with coronary artery disease.

Internal medicine (Tokyo, Japan)·2009

相关实验视频

Updated: Jan 10, 2026

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

5.2K

交叉主体情绪识别与循环自适应对抗转移网络.

Feifan Yan1, Bo Zhang1, Ziliang Cai1

  • 1Medical School of Tianjin University, Tianjin, 300072, China.

Neural networks : the official journal of the International Neural Network Society
|November 21, 2025
PubMed
概括

这项研究引入了一种新的循环自适应对抗转移网络 (LATN),以提高使用电脑图 (EEG) 信号的跨主体情绪识别. 通过尽量减少主题差异和增强决策边界,LATN实现了最先进的性能.

关键词:
这是一个跨学科的跨学科.域名适应领域适应基于EEG的情绪识别,基于EEG的情绪识别.转移学习转移学习

更多相关视频

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.4K

相关实验视频

Last Updated: Jan 10, 2026

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

5.2K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.4K

科学领域:

  • 神经科学是一个神经科学.
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 电脑电图 (EEG) 信号对情绪识别有希望.
  • 脑电图信号的主体变异性对实际应用来说是一个重大挑战.
  • 现有的方法在基于EEG的情绪识别中难以进行跨主体概括.

研究的目的:

  • 提出一种新的循环自适应对抗转移网络 (LATN),用于增强跨主体情绪识别.
  • 为了应对对情绪识别EEG信号的个体差异的挑战.
  • 提高基于EEG的情绪识别系统在不同受试者的准确性和稳定性.

主要方法:

  • 开发了一个循环自适应对抗转移网络 (LATN),结合了结构意识的关联对齐 (SAA) 和内部和外部产品组合策略 (IOPC).
  • 采用半监督式学习方法,有明智的伪标签,以减轻负面转移问题.
  • 在公共 (DEAP,SEED) 和私人 (ECPL) 数据集上验证了LATN模型.

主要成果:

  • 在ECPL数据集上实现了96.33%的三类准确性.
  • 在DEAP数据集上获得了89.21%的激发和76.12%的价值二元分类准确度.
  • 在SEED数据集上达到94.34%的三类准确度,证明了最先进的性能.

结论:

  • 拟议的LATN有效地增强了来自EEG信号的跨主体情绪识别.
  • 与现有的算法相比,LATN在多个数据集中表现出卓越的性能.
  • 这种方法为基于EEG的情绪识别的现实应用提供了一个有希望的解决方案.