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The visual stimuli consisted of 1000 random dots, which started to move 500 ms after the onset of presentation.
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Epochs of 9 s, including a 1000 ms baseline preceding the onset of sample presentation, 3000 ms of sample presentation, and 5000 ms of maintenance period, were used in the time-frequency (TF) analysis.
For this analysis we merged the reactivations detected by MVPCs trained at different time points of sample presentation (i.e., from 44 to 764 ms after the onset of sample presentation) and calculated PLVs to theta, considering theta recordings of each of the 275 MEG sensors separately.
EEG epochs were synchronized with the onset of stimuli presentation.
Events were time-locked to onset of stimulus presentation and regressors modeling stimulus events were convolved with a canonical hemodynamic response function.
More precisely, we found for subsequent correct solutions after timeout (N = 51) as compared to a further timeout (N = 96) a strong upper alpha ERS in right temporal regions (correct solution>timeout; p<0.05; P<0.04, NS = 9) from −0.2 to 0.3 s after onset of hint presentation.
Responses were aligned to the onset of stimulus presentation.
We measured characteristics of three infant components, time-locked to the onset of stimulus presentation.
EEG epochs were synchronized with the onset of stimuli presentation and analyzed by ANT- EEProbe software.
EEG epochs were synchronized with the onset of stimulus presentation and analyzed using ANT- EEProbe software.
Response times were measured from the onset of the presentation of the two alternatives.
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