Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, multi-site recordings, enabling mechanistic investigations of in vitro human brain development and disease-related dysfunction; nevertheless, conventional MEA pipelines largely rely on firing/burst statistics or channel-/waveform-level features, which can be insufficient to systematically characterize and interpret network-level organization and its subtle pathological deviations.