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In Figure 4F we see the contour lines of the stimulus phase at the time of burst onset.
During the 12 min long recording the dwell time of burst like behaviour was less than 10% of the dwell time of channel type fluctuations.
This question may be phrased more precisely by asking which is the stimulus attribute that, at the time of burst onset, is most tightly related to n.
We show that the number of spikes per burst varies systematically with the phase of the fluctuating input at the time of burst onset.
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The 1920s were certainly a time of bursting if sometimes tacky vitality.
Closed-loop DBS, by focusing stimulation at the time of bursts in beta activity, preferentially suppresses periods of particularly extensive beta synchronization, leaving undisturbed other periods in which the degree of synchrony, and hence neuronal population performance, is closer to task optimality (Little etal., 2013).
LRTCs have been demonstrated previously in discrete neurophysiological data, in the waiting times of burst activity in cultures [34] and in the bursts of activity recorded using EEG in very preterm human neonates [35].
We used a reduced model that allows for separation of the variables of interest into two subsystems: fast (completed during a spike) and slow (completed over the time scale of burst duration).
In addition, LRTCs have also been detected in the waiting times of bursts of activity in cultures [34] and the discontinuous burst activity recorded in the EEG of extremely preterm human neonates [35].
Instead, the x-ray flares could be due to delayed shocks in the jets that were produced at the time of the burst, or they could be part of the early burst afterglow.
One CPU decides and sends the start time of a burst operation to the other CPU.
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