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This task, containing difficulty conditions for the Nogo stimuli, enabled the acquisition of aware errors (mainly in the easy and intermediate conditions) and unaware errors (in the difficult condition), in addition to hits (i.e. correct responses on Go trials).
Each condition of the task contained 30 sentences.
The narrative task contained four pictures that told a simple story; participants had one minute to relate the pictures.
Our implementation of the cued alternation task contained 72 states aliased to 14 observations.
The detection task contained a grey dot presented in peripheral vision that moved in a circular direction concurrent to the stimulus stream of the AB task.
As mentioned above, the block of the red dot task contained more trials to keep the number of trials without a red dot occurrence equal to the number of trials in the blocks of the standard and grey dots tasks.
The priming task contained three synaesthetic priming conditions in which the primes induced a synaesthetic colour that was either congruent (CC) or incongruent (IC) compared to the target, or the primes did not induce a synaesthetic colour (NC).
The picture AB task contained 640 colored images downloaded from Google Images, depicting single objects in their natural or most commonly seen setting, as well as natural scenes of everyday settings.
Each task contained the same five attributes, with levels that varied across tasks.
The computer task contained two blocks, each block consisting of 120 trials.
In the general-stop group the SST task contained no association between any pictures and stop signals.
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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