P.Y. Ktonas

TL;DR: It is shown that the propensity of those units to develop a sustained clustering pattern may increase during the first 2 months, possibly reaching a plateau at about 4 months, and the overall density of REM activity units may continue to increase beyond that point in time.

TL;DR: This work presents data from detailed, computer-aided analysis of pertinent electrographic characteristics of well-defined EEG spikes and sharp waves, showing morphological differences between spikes obtained from different subjects, spikes from different electrode montages, as well as between monophasic and biphasic spikes.

TL;DR: An automated analysis of the patterns in REM occurrences during REM sleep in 6 healthy young adults was performed, with an emphasis on second-order parameters, and it was found that the majority of REMs were grouped in bursts with a tendency to return to the burst mode once outside of it.

TL;DR: A theoretical analysis of the variance for the time delay estimate between two EEG signals, obtained via the phase spectrum method, and indicates that the formulae can be used even with non-gaussian and relatively narrow-band EEG-like data.

TL;DR: A simple artifact detection algorithm which can be used when large amounts of EEG data are to be automatically processed via spectral analysis techniques in a general purpose digital computer, and visual inspection of each EEG epoch becomes an impossible task is described.