These electrical potentials are obtained by averaging single trial EEG epochs time locked to a stimulus or event and represent large numbers of neural elements acting in synchrony during information processing, from early sensory perception to higher cognitive processing.
The degree of synchrony provides information about pulse timing and polarity, but it does not reflect the precise timing cues within the pulse waveform, consistent with the inability of these fish to behaviorally detect EOD waveform variation (Carlson et al., 2011).
In accord with the infancy literature on the development of body awareness [ 15, 17], we propose that intermodal detection of synchrony provides important information allowing infants to differentiate the self from others and to form a coherent representation of their own bodies.
Little is known, however, about the required synchrony due to limited information on both N uptake patterns of sugarcane and N release patterns from CRF under different crop growing conditions.
One feature that remains particularly unclear is whether beta synchrony per se also carries information or whether information is exclusively carried by spared processing channels, which are free to engage in oscillatory synchronization in other frequency bands, stochastic synchronization and/or rate coding.
Nevertheless, the efficacy of DBS potentially challenges the hypothesis that increases in beta synchrony can compromise the information-coding capacity and hence computational power.
Left ventriculography (X-ray pictures of the left ventricle) provides information about the synchrony and adequacy of the forces of contraction in areas of the left ventricle.
As these conditions also increase the perception of sense of ownership, it makes sense to assume that bottom-up information (provided through synchrony) and top-down information (provided by modality) are integrated into a coherent percept (Zhang & Hommel, 2016).
We conclude that synchrony between visual and proprioceptive information along with motor activity is able to induce an illusion of ownership over a virtual arm.
This corroborates previous studies which have shown that correlation-based functional connectivity metrics from resting state data may provide useful information about temporal synchrony of different regions which may aid in classification [3], [36].
