Sentence examples for subtracting trial from inspiring English sources

Time to complete each trial is recorded, and an interference index by subtracting trial C from CW.

Matching results were obtained using spike-triggered averages corrected by subtracting trial-shuffled data.

By subtracting one trial type from the other, this revealed that ACC explained more variance in DLPFC firing on effort trials than delay trials, whereas the converse was true for OFC".

Change in the three executive functions was calculated by subtracting the trial completion value from the baseline value.

However, we previously concentrated on the late timing of the difference effect in Figure 5 (subtracting one trial type from another): " towards the end of the decision period, the contribution of ACC and OFC PC2 to DLPFC neuron firing changed in a cost-specific way.

With SSS, small head position differences across the four blocks in the median-nerve oddball task were eliminated, and a difference waveform for each sensor was obtained by subtracting the trial-averaged MEG responses evoked by (non-target) frequent stimuli from those evoked by (target) rare stimuli.

Mean RTs on trials on which the correct response was positive were subtracted from trials on which the correct response was negative.

Mean latencies for trials in which the probe appeared in the location of the emotional face (congruent condition) were subtracted from trials in which the probe replaced the neutral face (incongruent condition).

Network meta-analysis is based on the assumption that, on a suitable scale, we can add and subtract within-trial estimates of relative treatment effects i.e. the difference in effect between treatments A & B (d AB ) is equal to the difference in effects between treatments A & C and B & C (d AB = d AC - d BC ) [ 1- 3].

To quantify the relative strength of visually evoked versus gaze movement-related activity for some analyses, we calculated a visuomovement index (VMI) for each neuron as the difference of Vis10%andMov10%0% divided by their sum, after subtracting off their trial-matched baseline activity.

For each subject, the mean value of EEG of each trial was calculated and subtracted from the trial to get zero-mean stochastic process that is required for application of the autoregressive modeling.