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Synchronization modes in bipartite oscillator networks
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이 매체는 공공·자유 라이선스로 본문을 직접 표시합니다.Nonlinear Sciences > Adaptation and Self-Organizing Systems
[Submitted on 18 Jun 2026]
Title:Synchronization modes in bipartite oscillator networks
View PDF HTML (experimental)Abstract:Collective oscillations in neuronal systems often arise from interactions between excitatory and inhibitory populations rather than from recurrent coupling within a single ensemble. Motivated by the coexistence of strongly and partially synchronized regimes in such systems, we study the Kuramoto Sakaguchi model on a bipartite network. Despite its minimal structure, the model exhibits rich collective dynamics, including both continuous and discontinuous transitions from full synchrony to partial synchrony (PS). In the PS regime, global oscillations fail to entrain one of the two populations, whose oscillators display quasiperiodic dynamics with an average frequency that can significantly deviate from that of the global field, as observed in neuronal networks. We show that this PS state constitutes an example of self-organized quasiperiodicity, arising here in the canonical Kuramoto Sakaguchi model despite its purely linear global coupling.
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