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

Neuroplasticity01:01

Neuroplasticity

2.6K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
2.6K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

989
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...
989
Limits at Infinity01:24

Limits at Infinity

424
The function that decreases as the input becomes very large provides a clear example of how mathematical functions can behave at extreme values. When the input increases continuously, the output becomes smaller and smaller, getting closer to a particular fixed value. Although the output never actually reaches this value, it moves nearer to it without limit. This behavior is a fundamental concept in understanding how functions behave as the input grows indefinitely. The graphical representation...
424

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

From Accelerometer to Cognition: Hand Motion Can Reflect Effects of Cardiac Coherence on Cognitive Flexibility.

Sensors (Basel, Switzerland)·2025
Same author

Detection of Cognitive Load Modulation by EDA and HRV.

Sensors (Basel, Switzerland)·2025
Same author

Multifractal Multiscale Analysis of Human Movements during Cognitive Tasks.

Entropy (Basel, Switzerland)·2024
Same author

Entropy-Based Multifractal Testing of Heart Rate Variability during Cognitive-Autonomic Interplay.

Entropy (Basel, Switzerland)·2023
Same author

Guiding Breathing at the Resonance Frequency with Haptic Sensors Potentiates Cardiac Coherence.

Sensors (Basel, Switzerland)·2023
Same author

A Single Session of SMR-Neurofeedback Training Improves Selective Attention Emerging from a Dynamic Structuring of Brain-Heart Interplay.

Brain sciences·2022
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: May 2, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K

越来越困难的计算机任务中的多分位非线性行为:它能教我们什么?

Alix Bouni1,2, Laurent M Arsac1, Olivier Chevalerias2

  • 1University of Bordeaux, CNRS, Laboratoire IMS, (Intégration du Matériau au Système), UMR 5218, F-33400 Talence, France.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
概括
此摘要是机器生成的。

复杂系统研究显示,运动行为中的多分位非线性反映了挑战性任务中的适应能力. 更高的多分位非线性,特别是在认知运动处理中,表明更好的表现和任务参与.

关键词:
认知能力动态系统运动行为多分形非线性乘法级流

更多相关视频

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

13.7K
Behavioral Training Procedures for Head-fixed Virtual Reality in Mice
06:27

Behavioral Training Procedures for Head-fixed Virtual Reality in Mice

Published on: September 6, 2024

1.2K

相关实验视频

Last Updated: May 2, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

13.7K
Behavioral Training Procedures for Head-fixed Virtual Reality in Mice
06:27

Behavioral Training Procedures for Head-fixed Virtual Reality in Mice

Published on: September 6, 2024

1.2K

科学领域:

  • 认知运动处理
  • 复杂系统理论
  • 非线性动力学

背景情况:

  • 认知运动处理涉及多个层面的复杂相互作用.
  • 多分形非线性是理解这些内部相互作用的关键概念.
  • 评估适应能力需要在任务难度增加的情况下分析行为.

研究的目的:

  • 研究任务难度值与运动中的多分形非线性之间的联系.
  • 通过多元化和非线性来描述个体的适应能力.
  • 在复杂的任务中探索性能动态和多元测量之间的关系.

主要方法:

  • 参与者通过计算机完成了一项越来越困难的牧羊任务.
  • 通过使用时间序列的光标移位来分析运动行为.
  • 计算了基于的多分体性 (MF) 和基于t测试的多分体非线性测量 (tMF).

主要成果:

  • 参与者的表现 (分数动态) 和多分位测量有显著差异.
  • 根据表现和多分体特征,分层聚类确定了三个不同的参与者群体.
  • 一个以高分数动态和高tMF为特征的集群表现出卓越的表现.

结论:

  • 多分位非线性 (tMF) 是复杂的认知运动任务中的适应能力的重要指标.
  • 高度的多分位非线性与有效的任务执行和参与相关.
  • 这种框架为复杂的动态系统中的适应性行为提供了宝贵的见解.