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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

96
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
96
Controller Configurations01:22

Controller Configurations

85
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
85
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

247
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...
247

You might also read

Related Articles

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

Sort by
Same author

Switching between cognitive control states? No, thank you.

Journal of experimental psychology. General·2026
Same author

Inferring mind wandering from perceptual decision making.

Communications psychology·2026
Same author

Model-based planning in structured foraging environments.

Cognition·2025
Same author

When models matter: Environmental demand guides the arbitration between model-based and model-free control.

Cognitive, affective & behavioral neuroscience·2025
Same author

Reward masks the learning of cognitive control demand.

Cognitive neurodynamics·2025
Same author

Free recall is shaped by inference and scaffolded by event structure.

Communications psychology·2025
Same journal

Prevalence and severity of mental health problems in early-career researchers: a systematic review and meta-analysis.

Nature human behaviour·2026
Same journal

Representativeness and response validity across nine opt-in online samples.

Nature human behaviour·2026
Same journal

The growing concentration of national influence in global science.

Nature human behaviour·2026
Same journal

Political polarization in low- and middle-income countries.

Nature human behaviour·2026
Same journal

Political segregation in the US workplace.

Nature human behaviour·2026
Same journal

Potential mechanisms and functional significance of aperiodic neural activity.

Nature human behaviour·2026
See all related articles

Related Experiment Video

Updated: Jun 4, 2025

Irrelevant Stimuli and Action Control: Analyzing the Influence of Ignored Stimuli via the Distractor-Response Binding Paradigm
12:12

Irrelevant Stimuli and Action Control: Analyzing the Influence of Ignored Stimuli via the Distractor-Response Binding Paradigm

Published on: May 14, 2014

10.6K

Distractor-specific control adaptation in multidimensional environments.

Davide Gheza1, Wouter Kool2

  • 1Department of Psychological and Brain Sciences, Washington University in St. Louis, St Louis, MO, USA. gheza@wustl.edu.

Nature Human Behaviour
|January 3, 2025
PubMed
Summary
This summary is machine-generated.

Humans adapt to conflicting information by suppressing irrelevant details, not enhancing relevant ones. This cognitive control is specific to each information dimension, suggesting a need to update existing models.

More Related Videos

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

12.2K
Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

8.8K

Related Experiment Videos

Last Updated: Jun 4, 2025

Irrelevant Stimuli and Action Control: Analyzing the Influence of Ignored Stimuli via the Distractor-Response Binding Paradigm
12:12

Irrelevant Stimuli and Action Control: Analyzing the Influence of Ignored Stimuli via the Distractor-Response Binding Paradigm

Published on: May 14, 2014

10.6K
An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

12.2K
Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

8.8K

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computational Modeling

Background:

  • Goal-directed behavior involves managing multiple, conflicting information sources.
  • Existing cognitive control tasks often simplify environments, lacking multidimensional conflict.

Purpose of the Study:

  • To investigate how cognitive control is allocated in multidimensional environments.
  • To determine if adaptation to conflict involves enhancing relevant or suppressing irrelevant information.

Main Methods:

  • Development of a multidimensional task-set interference paradigm with three independent dimensions of distraction.
  • Experimental testing of participants' responses to multidimensional conflict.
  • Simulation using a neural network model with multiple independent conflict-detector units.

Main Results:

  • Evidence supports the hypothesis that adaptation involves suppressing task-irrelevant information.
  • Cognitive control adaptation was found to be highly dimension-specific.
  • Conflict from one dimension did not generalize to affect processing of other dimensions.

Conclusions:

  • Human cognitive control in multidimensional environments relies on suppressing irrelevant information.
  • The dimension-specific nature of control adaptation challenges traditional models.
  • Neurocomputational models require multiple independent conflict-detector units to explain these findings.