Since PRCs are used for predicting synchronization properties, see [19], Chap. 10 in [1] or Chap.
In the following final analysis, we explored the brain-to-brain synchronization pattern after excluding the electrodes that showed significant brain-audio envelope synchronization for either the Listener or the Speaker (or both) in each of the frequency bands, and also removing the brain-to-brain synchronization predicted by brain-audio synchronization.
In the case of network synchronization and pattern selection, a chain network is designed and statistical factor of synchronization is calculated to predict the synchronization stability on the network.
Our next question was whether this synchronization predicted behavioural task performance.
Moreover, this latter position would also predict significant gamma synchronization (event-related synchronization [ERS]) for subliminal emotional stimuli.
It would be of interest to investigate the relationship between the strength or period of external stimulus and the strength of coupling, carrying out quantitative curves which predict when a synchronization behavior is achieved.
These properties of pyramidal electrotonic couplings largely fill the needs, as predicted by simulation studies, for the synchronization of a neuronal assembly.
Multiple linear regressions were calculated to predict brain-to-brain synchronization based on the brain-audio synchronization of the Listener and/or the brain-audio synchronization of the Speaker.
In particular, the characterization of the collective response as a synchronization phenomenon where the phenotypic variations can be generically predicted has been proposed [ 47].
In DES time increments for updates of numerical variables (events) are predicted by imposing small but finite bounds to their changes, and event synchronization requirements are defined with physical rules.
The "selective synchronization" hypothesis predicts that even during the silent states, some neurons of the network still generate irregular spontaneous firing.
