Sentence examples for index of error from inspiring English sources

Exact(2)

We also computed a behavioral index of error monitoring.

ERN is an electrophysiological index of error monitoring, or detection of the discrepancy between the desired and actually executed action, and is generated in the anterior cingulate cortex (Carter et al. 1998; Debener et al. 2005 b ).

Similar(58)

The error-related negativity (ERN) is the electrophysiological index of errors and has been posited to reflect sensitivity to threat.

Additionally, studies have analysed the mismatch negativity and error negativity as indices of error commission and monitoring.

The use of the MDC or other indices of error (or reproducibility) to determine thresholds for change is an objective, transparent, simple way to help the clinician monitor change in the individual with OA.

To reduce multiple comparisons, we correlated behavioral and neural indices of error adaptation only in time frequency windows in which there was a significant difference in neural activity between Ec and Ee conditions.

Simple expressions are provided for each of the cost terms that enable performance to be assessed, including the total performance index, variance of error and control signals and variance of weighted signals.

The use of Excel (Microsoft Office 2007) for the indexing of errors facilitated inter-scenario and intra-scenario comparison of errors so that patterns within the dataset as a whole could be identified and explored.

A flexible algorithm is then presented based on the index of confidence, error measures, and data envelopment analysis for selecting the best FR model.

Note that k is the index of the error symbol at the relay.Note that the relay can erroneously decodes x k to x k −2d or x k ±j 2d.

Specifically, in GARP, we retained only the 20% of models that showed lowest omission errors, and then retained only the central 50% of the frequency distribution of proportional area predicted present (an index of commission error); the result was 10 'best subsets' models (binary raster data layers) that were summed to produce a best ensemble estimate of geographic projection.

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