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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

149
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
149
Nonconscious Mimicry01:13

Nonconscious Mimicry

5.0K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
5.0K
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

799
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
799
Parallel Processing01:20

Parallel Processing

490
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
490
Integration of Synaptic Events01:28

Integration of Synaptic Events

3.2K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
3.2K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

538
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...
538

You might also read

Related Articles

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

Sort by
Same author

Development of a self-questionnaire (APP-Chutes®) for pre-screening older persons at moderate or high risk of falling according to the World Falls Guidelines.

Geriatrie et psychologie neuropsychiatrie du vieillissement·2026
Same author

Effects of auditory perturbations on recovery dynamics as a component of locomotor resilience in healthy young and older adults.

Gait & posture·2026
Same author

Group synchrony and pain: investigating the interplay between social bonding and affective states.

Proceedings. Biological sciences·2026
Same author

Comparison of four frailty scores to predict adverse health events and mortality in people living with HIV aged 70 years and more (ANRS EP 66 SEPTAVIH study).

HIV medicine·2026
Same author

Allergic rhinitis in the elderly. In collaboration with ARIA guidelines.

The journal of allergy and clinical immunology. In practice·2026
Same author

Assessment of the "world guidelines for falls prevention and management" algorithm in older volunteers.

Aging clinical and experimental research·2026

Related Experiment Video

Updated: Dec 10, 2025

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

13.0K

Interpersonal Synchronization Processes in Discrete and Continuous Tasks.

Samar Ezzina1,2, Maxime Scotti1, Clément Roume1

  • 1EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.

Journal of Motor Behavior
|September 2, 2020
PubMed
Summary
This summary is machine-generated.

Interpersonal synchronization, or how people coordinate actions, is primarily driven by discrete mutual adaptation, not continuous coupling. This finding challenges existing theories, suggesting adaptation is key across different tasks and information availability.

Keywords:
complexity matchingmutual adaptationsynchronizationtiming

More Related Videos

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

6.3K
Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

13.2K

Related Experiment Videos

Last Updated: Dec 10, 2025

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

13.0K
Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

6.3K
Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

13.2K

Area of Science:

  • Cognitive Science
  • Social Neuroscience
  • Human-Computer Interaction

Background:

  • Interpersonal synchronization is crucial for social interaction.
  • Existing frameworks include information processing, coordination dynamics, and complexity matching.
  • The relevance of these frameworks to task nature is debated.

Purpose of the Study:

  • To test the hypothesis that the relevancy of interpersonal synchronization frameworks depends on task type.
  • To investigate the mechanisms underlying synchronized behaviors in dyads.

Main Methods:

  • Ten dyads performed synchronized tapping and forearm oscillations.
  • Two information conditions were used: full information and digital (discrete auditory signals).
  • Analysis focused on the dominant synchronization mechanism.

Main Results:

  • Synchronization was consistently dominated by discrete mutual adaptation, irrespective of task or information condition.
  • Continuous coupling, as proposed by coordination dynamics, was not the primary mechanism observed.
  • Complexity matching's global interaction was also less evident than discrete adaptation.

Conclusions:

  • Discrete mutual adaptation appears to be the fundamental mechanism for interpersonal synchronization.
  • The findings challenge the universal applicability of the coordination dynamics perspective.
  • Future research should focus on the discrete nature of adaptive processes in social coordination.