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An MFN has been found for errors, conflict, unexpected punishment, and negative feedback, and one of the most influential theories in which this group of ERP components has been considered has proposed that, in almost all paradigms, the MFN reflects a reinforcement learning signal that occurs whenever outcomes are worse than expected (Holroyd & Coles, 2002).
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Table 1 summarizes numbers of injected errors, conflict-introducing errors, and scores for tuple-wise detection, cell-wise detection (same as shown in Figs. 5, 3, 7), and scores for correction (skewness 0.25, a weak skew).
In [43], the authors propose an approach that enables the detection of errors (conflicts and objectives violations) among a set of rules.
Members of the Intergovernmental Panel on Climate Change (IPCC), meeting this week in Abu Dhabi for their annual confab, have added new procedures for dealing with errors, conflicts of interest, and other procedural issues.
First, non-error conflict activations of the medial frontal cortex including the ACC correlated with post-conflict prefrontal activations but this was not true of error conflicts.
We hypothesized that error and non-error conflict would involve different neural processes during cognitive control.
Thus, the current study extended these previous findings by specifying a link between error conflict thalamic and insular activity and prefrontal activity during post-conflict control.
In contrast, error conflict (SE>G) activity of the thalamus and insula showed strongest correlations to the prefrontal activation during post-conflict control (Table 3b).
Taken together, these new findings challenge a specific role of the ACC and support distinct pathways for error and non-error conflict processing in cognitive control.
Second, thalamic and insular but not ACC activity during error processing correlates with prefrontal post-conflict activity, suggesting distinct neural pathways for non-error and error conflict control in the stop signal task.
However, there is little information about whether error and non-error conflict involve different neural processes in cognitive control, perhaps because participants generally make very few errors in the Stroop task.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com