Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
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
See all related articles

Related Experiment Video

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

Multifractal Nonlinearity in Behavior During a Computer Task with Increasing Difficulty: What Does It Teach Us?

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
Summary
This summary is machine-generated.

Complex systems research reveals that multifractal nonlinearity in movement behavior reflects adaptive capacity during challenging tasks. Higher multifractal nonlinearity, particularly in cognitive-motor processing, indicates better performance and task engagement.

Keywords:
cognitiondynamical systemsmotor behaviormultifractal nonlinearitymultiplicative cascades

More Related Videos

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

Related Experiment Videos

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

Area of Science:

  • Cognitive-motor processing
  • Complex systems theory
  • Nonlinear dynamics

Background:

  • Cognitive-motor processing involves complex interactions across multiple scales.
  • Multifractal nonlinearity is a key concept for understanding these internal interactions.
  • Assessing adaptive capacity requires analyzing behavior under increasing task difficulty.

Purpose of the Study:

  • To investigate the link between task difficulty threshold and multifractal nonlinearity in movement.
  • To characterize individual adaptive capacity using measures of multifractality and nonlinearity.
  • To explore the relationship between performance dynamics and multifractal measures in a complex task.

Main Methods:

  • Participants performed a computer-based herding task with increasing difficulty.
  • Movement behavior was analyzed using time series of cursor displacements.
  • Entropy-based multifractality (MF) and a t-test based multifractal nonlinearity measure (tMF) were calculated.

Main Results:

  • Participant performance (score dynamics) and multifractal measures varied significantly.
  • Hierarchical clustering identified three distinct participant groups based on performance and multifractal characteristics.
  • A cluster characterized by high score dynamics and high tMF demonstrated superior performance.

Conclusions:

  • Multifractal nonlinearity (tMF) is a significant indicator of adaptive capacity in complex cognitive-motor tasks.
  • High multifractal nonlinearity correlates with effective task performance and engagement.
  • This framework provides valuable insights into adaptive behaviors within complex dynamic systems.