Gamma and beta rhythms have distinct synchronization properties. Gamma rhythms (30–70 Hz) and beta rhythms (12–30 Hz) differ in their dynamical mechanisms, with beta rhythms better suited for synchronization over long conduction delays. This is due to the use of intrinsic membrane currents in beta rhythms, which allow for more precise timing despite delays. In contrast, gamma rhythms are more localized and less effective at synchronizing over long distances. The paper shows that beta rhythms can synchronize over longer delays because of their unique dynamics, including the use of after-hyperpolarization (AHP) currents. This is supported by experimental data and simulations, which demonstrate that beta rhythms can maintain synchronization even with significant conduction delays. The analysis of these rhythms reveals that the ability to synchronize depends on the time scales of the currents involved, not just the frequency. The study also highlights the role of long-distance E-E connections in maintaining synchronization in beta rhythms, while gamma rhythms rely more on local inhibition. The findings suggest that the use of different oscillation frequencies allows for the coordination of distant neural structures, with beta rhythms being more effective for long-distance synchronization. The paper concludes that the differences in synchronization properties between gamma and beta rhythms are due to their distinct dynamical structures and the specific currents involved in their generation.Gamma and beta rhythms have distinct synchronization properties. Gamma rhythms (30–70 Hz) and beta rhythms (12–30 Hz) differ in their dynamical mechanisms, with beta rhythms better suited for synchronization over long conduction delays. This is due to the use of intrinsic membrane currents in beta rhythms, which allow for more precise timing despite delays. In contrast, gamma rhythms are more localized and less effective at synchronizing over long distances. The paper shows that beta rhythms can synchronize over longer delays because of their unique dynamics, including the use of after-hyperpolarization (AHP) currents. This is supported by experimental data and simulations, which demonstrate that beta rhythms can maintain synchronization even with significant conduction delays. The analysis of these rhythms reveals that the ability to synchronize depends on the time scales of the currents involved, not just the frequency. The study also highlights the role of long-distance E-E connections in maintaining synchronization in beta rhythms, while gamma rhythms rely more on local inhibition. The findings suggest that the use of different oscillation frequencies allows for the coordination of distant neural structures, with beta rhythms being more effective for long-distance synchronization. The paper concludes that the differences in synchronization properties between gamma and beta rhythms are due to their distinct dynamical structures and the specific currents involved in their generation.