A Neural System for Error Detection and Compensation

1993 ◽  
Vol 4 (6) ◽  
pp. 385-390 ◽  
Author(s):  
William J. Gehring ◽  
Brian Goss ◽  
Michael G. H. Coles ◽  
David E. Meyer ◽  
Emanuel Donchin

Humans can monitor actions and compensate for errors. Analysis of the human event-related brain potentials (ERPs) accompanying errors provides evidence for a neural process whose activity is specifically associated with monitoring and compensating for erroneous behavior. This error-related activity is enhanced when subjects strive for accurate performance but is diminished when response speed is emphasized at the expense of accuracy. The activity is also related to attempts to compensate for the erroneous behavior.

1992 ◽  
Vol 36 (18) ◽  
pp. 1464-1468 ◽  
Author(s):  
William A. Nugent ◽  
James W. Broyles

This study compared the relative effectiveness of three computer-based formats for displaying Navy system status data. Response speed and accuracy data were collected for each format on four tasks typically performed in a shipboard Combat Information Center (CIC). The three presentation formats were character readout (CRO), text-only, and text-graphics. Results showed the text-only and text-graphics formats produced faster, more accurate performance than the CRO on count and compare tasks; however, no reliable performance differences were found between presentation formats for identify and criterion tasks. Predictions concerning an advantage for the text-graphics format over the text-only format on certain types of tasks were not supported by the study findings. The practical applications and design implications of these findings are discussed.


2001 ◽  
Vol 112 (3) ◽  
pp. 477-484 ◽  
Author(s):  
R Oostenveld ◽  
P Praamstra ◽  
D.F Stegeman ◽  
A van Oosterom

1994 ◽  
Vol 5 (5) ◽  
pp. 303-305 ◽  
Author(s):  
Stanislas Dehaene ◽  
Michael I Posner ◽  
Don M Tucker

2012 ◽  
Vol 24 (6) ◽  
pp. 1331-1343 ◽  
Author(s):  
Aurelie L. Manuel ◽  
Fosco Bernasconi ◽  
Micah M. Murray ◽  
Lucas Spierer

Optimal behavior relies on flexible adaptation to environmental requirements, notably based on the detection of errors. The impact of error detection on subsequent behavior typically manifests as a slowing down of RTs following errors. Precisely how errors impact the processing of subsequent stimuli and in turn shape behavior remains unresolved. To address these questions, we used an auditory spatial go/no-go task where continual feedback informed participants of whether they were too slow. We contrasted auditory-evoked potentials to left-lateralized go and right no-go stimuli as a function of performance on the preceding go stimuli, generating a 2 × 2 design with “preceding performance” (fast hit [FH], slow hit [SH]) and stimulus type (go, no-go) as within-subject factors. SH trials yielded SH trials on the following trials more often than did FHs, supporting our assumption that SHs engaged effects similar to errors. Electrophysiologically, auditory-evoked potentials modulated topographically as a function of preceding performance 80–110 msec poststimulus onset and then as a function of stimulus type at 110–140 msec, indicative of changes in the underlying brain networks. Source estimations revealed a stronger activity of prefrontal regions to stimuli after successful than error trials, followed by a stronger response of parietal areas to the no-go than go stimuli. We interpret these results in terms of a shift from a fast automatic to a slow controlled form of inhibitory control induced by the detection of errors, manifesting during low-level integration of task-relevant features of subsequent stimuli, which in turn influences response speed.


1998 ◽  
Vol 242 (1) ◽  
pp. 17-20 ◽  
Author(s):  
Christian Kaernbach ◽  
Erich Schröger ◽  
Thomas C Gunter

2008 ◽  
Vol 20 (12) ◽  
pp. 2285-2297 ◽  
Author(s):  
Artem V. Belopolsky ◽  
Arthur F. Kramer ◽  
Jan Theeuwes

Previous research has shown that task-irrelevant onsets trigger an eye movement in their direction. Such oculomotor capture is often impervious to conscious awareness. The present study used event-related brain potentials to examine how such oculomotor errors are detected, evaluated, and compensated for and whether awareness of an error played a role at any of these stages of processing. The results show that the early processes of error detection and correction (as represented by the error-related negativity and the parietal N1) are not directly affected by subjective awareness of making an error. Instead, they seem to be modulated by the degree of temporal overlap between the programming of the correct and erroneous saccade. We found that only a later component (the error-related positivity [Pe]) is modulated by awareness of making an erroneous eye movement. We propose that awareness of oculomotor capture primarily depends on this later process.


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