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

High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

269
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
269

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

Case Report: Necrotizing pulmonary destruction and fatal gangrene: the imperative of early recognition.

Frontiers in medicine·2026
Same author

Design of a Compact Two-Stage ADC Based on a Nonuniform Flash Architecture for NTC Thermistor Linearization.

Sensors (Basel, Switzerland)·2026
Same author

Hyperbaric Oxygen Therapy - a Potential Therapy for Macro- and Trace Elements' Imbalance in Patients with Chronic Kidney Disease?

Biological trace element research·2026
Same author

Composite Xerogels Based on Poly(methacrylic acid) and High Concentrations of LTA Zeolite: Solid-State NMR Investigations.

The journal of physical chemistry. B·2026
Same author

1-Butyl-3-methylimidazolium Mandelate: A Multifunctional Ionic Liquid with Enhanced Hydrogen Bonding, Thermal Stability, Antimicrobial Activity, and Extraction Capability.

Molecules (Basel, Switzerland)·2025
Same author

Machine learning performance in EEG-based mental workload classification across task types: a systematic review.

Frontiers in neuroergonomics·2025
Same journal

Anterior Cingulate Cortex Mediates State-Dependent Prioritization of Distressed Conspecifics.

Brain sciences·2026
Same journal

Hemispherotomy for Pediatric Post-Traumatic Epilepsy.

Brain sciences·2026
Same journal

When Robots Learn: Artificial Intelligence and the Next Human-Centered Era of Neurorehabilitation.

Brain sciences·2026
Same journal

The Association Between Changes in White Matter Microstructure and Cognitive Function in Older Adults with Mild Cognitive Impairment.

Brain sciences·2026
Same journal

Beyond Ventricular Enlargement: Multimodal MRI Assessment Improves Surgical Decision-Making in Normal Pressure Hydrocephalus.

Brain sciences·2026
Same journal

The Effects of Personalized Observation, Execution, and Mental Imagery (POEM) Therapy in Logopenic Primary Progressive Aphasia: A Telepractice-Based Single-Case Study.

Brain sciences·2026
查看所有相关文章

相关实验视频

Updated: Jul 2, 2025

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

心理工作负载分类和多任务任务检测:来自EEG研究的深度学习见解

Miloš Pušica1,2, Aneta Kartali3, Luka Bojović4

  • 1mBrainTrain LLC, 11000 Belgrade, Serbia.

Brain sciences
|February 23, 2024
PubMed
概括
此摘要是机器生成的。

这项研究使用脑电图 (EEG) 和深度学习来分析多任务处理期间的心理工作量 (MWL). 研究结果表明,EEG模式可能无法充分区分较高的任务负载水平,即使是深度学习,由于任务设计和参与者适应.

关键词:
电脑电图信号分类 电脑电图信号分类卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.实验 实验 实验 实验 实验心理工作负荷是什么移动电动电动电报 (EEG) 的使用.多任务处理是多任务处理.模式识别 模式识别任务负载任务负载

更多相关视频

Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
13:18

Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task

Published on: May 24, 2020

7.7K
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

相关实验视频

Last Updated: Jul 2, 2025

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
Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
13:18

Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task

Published on: May 24, 2020

7.7K
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

科学领域:

  • 认知神经科学 认知神经科学
  • 人与计算机的交互
  • 机器学习 机器学习

背景情况:

  • 任务负载 (TL) 涉及外部需求,而心理工作负载 (MWL) 反映了内部认知努力.
  • 在多任务处理中,MWL通常被认为与并发任务的数量相关.
  • 使用脑电图 (EEG) 调查MWL的神经相关物对于理解认知状态至关重要.

研究的目的:

  • 挑战增加任务数量的假设与明显的EEG模式直接相关,这表明精神工作量较高.
  • 评估深度学习方法的有效性,特别是卷积神经网络 (CNN),根据任务负载和子任务存在来分类EEG数据.
  • 探索电脑电图 (EEG) 信号与复杂多任务处理期间不同程度的心理工作负载 (MWL) 之间的关系.

主要方法:

  • 在四个不同的任务负载级别下,对50名参与者进行了EEG实验,他们执行了NASA多属性任务电池II (MATB-II).
  • 开发并应用一个卷积神经网络 (CNN) 用于两个分类任务:区分任务负载级别和检测活跃的子任务.
  • 分析了EEG段,以评估CNN在不同认知需求和任务量之间区分能力.

主要成果:

  • 美国有线电视新闻网成功地分类了符合单个MATB-II子任务存在的EEG段,表明对特定任务的神经模式的敏感性.
  • 美国有线电视新闻网 (CNN) 很难区分两个最高的任务负载级别,这表明EEG模式没有足够的区别来进行更高的MWL歧视.
  • 参与者之间较低的错误率表明他们能够有效地适应增加的任务需求,可能会掩盖与工作负载相关的EEG变化.

结论:

  • 即使使用深度学习进行分析时,EEG也可能无法提供足够明显的模式,以区分多任务场景中的更高层次的任务负载.
  • 实验设计,其中较高的任务负载主要以数量不同,参与者适应,可能会限制与MWL相关的EEG变化的检测能力.
  • 未来的研究应该考虑替代的神经成像技术或实验范式,以更好地捕捉复杂任务期间心理工作负载的细微差异.