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The grand-average transient ERPs for the set of trials with similar past local frequency is shown in Figure 10B.
A number of previous ERP studies of set-shifting have compared the amplitude of effects, contrasting switch and stay trials on this basis [e.g. 18], [19], [21] [27].
The application of these distributions to large sets of ERP data has tended to rely on a time-frequency region of interest (TF-ROI; region of interest on the TF surface) to define activity for evaluation.
This article will review the role of ERPs in the setting of minimally invasive colorectal surgery.
Two example trials are shown to illustrate how the BF bursting amplitude linearly scales with the frontal ERP: one with bursting amplitude set at 100% (left) to resemble a hit trial, and the other with bursting amplitude set at 50% (right) to resemble a miss or standard trial.
Last month, an ERP-affiliated company acquired a set of huge surface mines in British Columbia out of bankruptcy.
The time window to calculate ERPs' mean amplitudes was thus set between 180 ms and 280 ms (P200 component) and between 280 ms and 480 ms (following negativity).
The extraction was set to reject ERPs that were greater than or less than 100 μV.
Here, the emission frequency of the pump wave was chosen to be 0.9 times the local f 0 F 2, and the ERP of the pump waves was set to 10 MW.
This analysis, which follows the Cooperative Requirements Engineering With Scenarios classification framework in its adapted ERP modeling form, results in a set of criteria for evaluating modeling languages for this purpose.
A second set of studies examined ERP responses to words following silent [18] and disfluent uh [10] delays.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com