Using jointly the confidence score and the CRC code results in error detection performances as good as for ideal error detection where the decoded bitplane is directly compared to the original bitplane [13].
Representative regions of interest, outlining the primary generators contributing to classification, were found to correspond closely to networks involved in error detection and performance monitoring.
When applied to real-world driving this suggests that impulsivity, and possibly weaker error detection and performance adjustment may be responsible for the increased rate of accidents in this population.
The robustness of the proposed optimal detector is evaluated using detection error, and detection performance is demonstrated by simulation experiments.
Second, the relationship between reconstruction errors and detection performance is not well understood in many settings.
This suggests that the contributions of working memory and the error detection system to performance are partially independent of each other.
We will then present the detection report, irrespective of the actual presence of a partial error, followed by the detection performance of partial errors.
The relative roles of task-set activation and error detection for poor antisaccade performance in schizophrenia are discussed.
With the existence of error detection and correction circuits, performance modeling of resilient circuits is complicated, and the binning method becomes challenging.
It has been a question of debate whether immediate error corrections in speeded forced-choice reaction time tasks require an error detection signal from the performance monitoring system or whether they reflect delayed correct responses that are executed after the premature error like in a horserace.
