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Since PRCs are used for predicting synchronization properties, see [19], Chap. 10 in [1] or Chap.
They are interesting because of their synchronization properties when coupled to other dynamical systems.
The equivalent PRC is what in practice can be used to study the synchronization properties of oscillators.
This chapter presents a model checking with abstraction method that mainly checks synchronization properties for concurrent processes.
The various synchronization properties of biological systems are defined as the natural positive and negative duality of (oscillations) or biphasic events that are required for maintenance of health.
This despite the fact that phases are expected to play a major role in determining the synchronization properties of neuronal networks [30].
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These results seem to be incompatible with the commonly observed synchronization property that a larger coupling strength between two oscillators tends to induce a higher degree of synchronization [ 19].
The choice of the aggregation parameter depends on the synchronization recovery properties of the QA codes.
We study the synchronization (sync) properties of a ring of N units with excitable FitzHugh Nagumo dynamics, when the inhibitor fields of nearest-neighbor units are coupled diffusively (electric coupling).
Due to oscillator inaccuracies and non-ideal transmitter/receiver synchronization, the orthogonal properties are easily broken down and result in errors due to frequency offsets.
For example, synchronization and consensus properties of networks largely depend on their structure (Belykh et al. 2005; Lu et al. 2004).
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CEO of Professional Science Editing for Scientists @ prosciediting.com