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

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

Adaptive Multiscale Spatiotemporal Mixing Network for Multiview Seizure Detection.

International journal of neural systems·2026
Same author

Attention-based Multimodal Spatiotemporal Enhanced Interaction Network For Major Depressive Disorder Detection.

IEEE journal of biomedical and health informatics·2026
Same author

Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.

BMC medicine·2026
Same author

A Unified Hypergraph-Mamba Framework for Adaptive Electroencephalogram Modeling in Multi-view Seizure Prediction.

International journal of neural systems·2025
Same author

Multi-channel EEG-based neurological disorder classification using Cross-Dependency Spatiotemporal Interactive Network.

Computer methods and programs in biomedicine·2025
Same author

Self-supervised spatial-temporal contrastive network for EEG-based brain network classification.

Neural networks : the official journal of the International Neural Network Society·2025
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
Same journal

Spectral super-resolution for Parkinson's voice via representation-level methods under mixed-reality acquisition.

Computer methods and programs in biomedicine·2026
查看所有相关文章

相关实验视频

Updated: Jul 11, 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

14.7K

基于动态图的脑网络分类注意力信息瓶

Changxu Dong1, Dengdi Sun2

  • 1Anhui Provincial Key Laboratory of Multimodal Cognitive Computing, School of Artificial Intelligence, Anhui University, Hefei 230601, China.

Computer methods and programs in biomedicine
|November 12, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的框架,DGAIB,通过动态增强图形结构和优化信息流来改进脑网络分类,解决现有方法中的噪音和静态限制.

关键词:
大脑网络分类大脑网络分类跨病人的交叉治疗.动态净化 动态净化图形理论是指图形的理论.信息查看 信息查看 信息查看患者特定的患者.

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

3.8K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

相关实验视频

Last Updated: Jul 11, 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

14.7K
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

3.8K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

科学领域:

  • 神经科学是一个神经科学.
  • 图形理论 图形理论
  • 机器学习 机器学习

背景情况:

  • 图形神经网络 (GNN) 通过识别静态连接,在大脑网络分类方面表现出色.
  • 大脑信号容易受到来自生理和外部因素的噪音的影响,这复杂化了图形分析.
  • 现有的方法往往忽视实时连接变化,依赖于静态拓.

研究的目的:

  • 提出一个新的框架,动态图表注意力信息瓶 (DGAIB),用于增强大脑图结构.
  • 为了应对噪音大脑图形和静态拓假设所带来的挑战.
  • 改进脑网络分析中的信息交换和分类准确性.

主要方法:

  • 使用斯皮尔曼函数构建原始大脑图.
  • 应用图形信息瓶 (GIB) 通过掩盖冗余嵌入来优化连接.
  • 利用图表注意网络 (GAT) 增强特征聚合和区域信息交换.

主要成果:

  • 评估了DGAIB框架的稳定性和通用性.
  • 实验包括患者特定的EEG数据 (CHB-MIT) 和跨患者fMRI数据 (ABIDE-I).
  • 该框架显示了动态大脑网络信息的改进处理.

结论:

  • 拟议的DGAIB框架有效地增强了脑图表的表示.
  • 它解决了当前大脑网络分析中噪音和静态结构的局限性.
  • 这种方法显示出更准确的脑网络分类任务的前景.