Types of Errors: Detection and Minimization
Censoring Survival Data
Termination of Translation
Nonsense-mediated mRNA Decay
Detection of Gross Error: The Q Test
Propagation of Uncertainty from Systematic Error
You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Sep 30, 2025

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
Anna Foerster1, Marco Steinhauser2, Katharina A Schwarz1
1Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
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.
11:49Author 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
10:41Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
Published on: March 29, 2017
Area of Science:
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.