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

Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

3.6K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
3.6K
Censoring Survival Data01:09

Censoring Survival Data

267
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
267
Termination of Translation01:44

Termination of Translation

5.8K
5.8K
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

10.9K
The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
10.9K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.4K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.4K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

956
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
956

You might also read

Related Articles

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

Sort by
Same author

Error Cancellation During Early Task Performance.

Experimental psychology·2026
Same author

Response activation in error processing: Assessing leakage into upcoming action episodes.

Journal of experimental psychology. Human perception and performance·2026
Same author

Playing With Matches: Preparatory Cognitive Processing Shapes Affective Evaluation.

Journal of cognition·2026
Same author

Action Selection by Temporally Close Transitions? Subtle Evidence from the Removal of Tactile Stimulation.

Quarterly journal of experimental psychology (2006)·2026
Same author

Correction: The representational nature of action-effect relations: A memory process dissociation approach.

Psychonomic bulletin & review·2026
Same author

Guiding gaze via gaze: Effect anticipation during intentional saccadic gaze leading.

Psychological research·2026

Related Experiment Video

Updated: Sep 30, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Error cancellation.

Anna Foerster1, Marco Steinhauser2, Katharina A Schwarz1

  • 1Julius-Maximilians-Universität Würzburg, Würzburg, Germany.

Royal Society Open Science
|March 17, 2022
PubMed
Summary

This study investigates how the human brain detects and corrects mistakes while they are happening. Researchers found that the motor system can actively stop an incorrect movement before it finishes, rather than just adjusting behavior after the fact. By measuring the force of finger presses, the team showed that the brain begins to cancel errors within 100 milliseconds of starting a movement. This rapid response helps explain how humans maintain accuracy during fast-paced tasks. The findings suggest that our motor control system is highly efficient at identifying and halting faulty actions in real-time.

Keywords:
error detectionerror processingmotor inhibitionperformance monitoringmotor activitycognitive processingkeypress actionsbehavioral performance

Frequently Asked Questions

More Related Videos

Author Spotlight: Establishing CENP-E Knockout HeLa Cells – A Novel Approach to Study Kinesin-7 CENP-E Biology and its Inhibitors
11:49

Author Spotlight: Establishing CENP-E Knockout HeLa Cells – A Novel Approach to Study Kinesin-7 CENP-E Biology and its Inhibitors

Published on: June 23, 2023

874
Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
10:41

Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations

Published on: March 29, 2017

11.9K

Related Experiment Videos

Last Updated: Sep 30, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K
Author Spotlight: Establishing CENP-E Knockout HeLa Cells – A Novel Approach to Study Kinesin-7 CENP-E Biology and its Inhibitors
11:49

Author Spotlight: Establishing CENP-E Knockout HeLa Cells – A Novel Approach to Study Kinesin-7 CENP-E Biology and its Inhibitors

Published on: June 23, 2023

874
Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
10:41

Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations

Published on: March 29, 2017

11.9K

Area of Science:

  • Cognitive neuroscience research within error cancellation mechanisms
  • Motor control systems in behavioral psychology

Background:

No prior work had resolved whether the brain can stop a movement while it is still being executed. It was already known that cognitive systems monitor performance to prevent future mistakes. Prior research has shown that error detection typically triggers adjustments after a task is completed. That uncertainty drove the investigation into whether these processes occur during the motor act itself. Experts previously assumed that rapid corrections were limited to post-hoc behavioral changes. This gap motivated a closer look at the temporal dynamics of motor output. Scientists lacked evidence for immediate cancellation during the initial phase of a response. This study addresses how the brain manages ongoing motor activity when an error is detected.

Purpose Of The Study:

The aim of this study is to determine if the brain can immediately cancel erroneous movements during their execution. Researchers sought to investigate whether error detection triggers rapid feedback to the motor system. This problem arises because traditional models often focus on post-hoc adjustments rather than real-time correction. The motivation stems from the need to understand how humans maintain precision in fast-paced environments. No prior work had resolved the exact timing of these corrective signals within the motor pathway. The team hypothesized that the cognitive system feeds back directly onto ongoing motor activity. They intended to demonstrate that this process occurs much earlier than previously thought. This study clarifies the temporal dynamics of how the brain manages faulty behavioral sequences.

Main Methods:

The review approach involved analyzing force data from human participants performing keypress tasks. Researchers examined how the physical intensity of movements evolved from onset to offset. They applied statistical controls to account for variations in response time and peak force. This design allowed for the isolation of corrective signals from standard motor planning. The team compared force trajectories between correct trials and identified errors. By focusing on the first 100 milliseconds, they evaluated early-stage suppression. They also assessed the late phase of responding to confirm the presence of active termination. This methodology provided a rigorous framework for testing the hypothesis of immediate auto-correction.

Main Results:

Key findings from the literature demonstrate that force profiles indicate active suppression of incorrect actions. The researchers observed shorter response durations for errors within the first 100 milliseconds of movement. This timeframe corresponds to the interval between the start and the peak of a response. The effect became more pronounced during the late phase of the movement. This late-stage reduction occurred after the force reached its maximum value. These observations suggest that the motor system continuously monitors and adjusts ongoing activity. The data corroborate that these changes reflect intentional cancellation rather than planning artifacts. This evidence confirms that the brain initiates corrective measures while the movement is still in progress.

Conclusions:

The authors propose that the motor system actively terminates faulty actions during their execution. This synthesis suggests that error detection is not merely a post-hoc monitoring process. The findings imply that cancellation occurs within a very short timeframe after movement onset. Researchers conclude that early force reduction serves as a marker for these corrective efforts. The data indicate that the brain continuously updates motor commands to suppress incorrect outputs. This synthesis highlights the efficiency of human motor control in real-time performance management. The evidence supports the view that cancellation is a distinct mechanism from initial movement planning. These results clarify the temporal limits of how the brain manages erroneous behavioral sequences.

The researchers propose that the motor system actively cancels faulty movements by reducing force during execution. This process begins within 100 milliseconds of movement onset, allowing the brain to suppress incorrect actions before they reach full completion.

The team utilized force-sensitive keypress devices to record the physical output of participants. This tool allowed for the precise measurement of force profiles, which were then analyzed to distinguish between correct and incorrect responses over time.

The authors note that controlling for biomechanical constraints and response time is necessary to isolate the cancellation effect. Without these adjustments, variations in peak force could be misattributed to intentional correction rather than inherent physical limitations of the movement.

Force profiles serve as the primary data type, revealing how the intensity of a movement changes during its execution. These profiles provide evidence of active suppression, as they show shorter durations for errors compared to correct trials.

The researchers measured the duration of responses within the first 100 milliseconds and during the late phase after peak force. They observed that errors showed significantly shorter durations, indicating an active effort to halt the movement.

The authors propose that these findings challenge the traditional view that error detection only influences future behavior. They suggest that the motor system possesses a sophisticated, rapid-response capability to mitigate errors as they unfold.