• Introduces a novel entropy-statistical approach for phase-locking detection using fuzzy entropy (FuzzyEn) computed from subharmonic ratio (SHR) time series.
• Demonstrates that low and high FuzzyEn values correspond to strong and weak synchronization, enabling entropy-map visualization of synchronized modes in resistively coupled pulse oscillators.
• Proposes a classification of synchronization states based on the dependency of FuzzyEn on embedding vector length, adding a new diagnostic dimension to synchronization analysis.
• Extends the method beyond pulse signals to non-spike data, successfully analyzing phase–phase coupling of rat hippocampal local field potentials, and is lightweight enough for digital mobile platforms.