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The measure of synchronization strength range from 0 to 1.
Let us introduce a formal measure of synchronization of two signals by. (11).
The S-estimator was proved to be a robust and easily scalable multivariate measure of synchronization, highly sensitive even with a reasonably small amount of data.
Collective behavior was classified as stable, switching, and unstable according to a combined measure of synchronization index (SI) [63], [64] and dwell time τ around regions near in-phase.
To quantify such effects, we computed a measure of synchronization across the population of inhibitory neurons, SI (see Materials and Methods).
In addition, our measure of synchronization benefits from the fact that volume conduction inflates synchronization indices toward the maximally possible values.
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S-estimator, as other measures of synchronization [54], [55], is affected by EEG power.
Indeed, recent work in nonlinear dynamical systems resulted in new application-independent multivariate measures of synchronization [32], [33], [34], [35].
As other measures of synchronization [54], [55], the S-estimator is affected by the amplitude of the EEG signals.
Nevertheless, being used in the analysis of the same data, various measures of synchronization detect coupling, although with different sensitivity [33], [56].
Although several measures of synchronization have been introduced, particularly for studying chaotic systems, only a few have been widely adopted in neuroscience.
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