Empirical Mode Decomposition for Isolation of Neural Assemblies Underlying Cognitive Acts

Empirical Mode Decomposition (EMD) is introduced as a method for detecting neural assemblies integrating information from different brain regions by long-range phase synchronisation in different frequency bands. The method utility is assessed on appropriately constructed synthetic data. Artificial data with the required phases relationship is first created, then EMD is applied to obtain intrinsic mode functions (IMFs) between which the phase-locking is sought. The Hilbert Spectra of the IMFs involved in phase-locking reveal the frequency range in which the locking occurred.

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