Local complexity predicts global synchronization of hierarchically networked oscillators
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2015
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| _version_ | 1866929241182961664 |
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| author | Xu, Jin Park, Dong-Ho Jo, Junghyo |
| author_facet | Xu, Jin Park, Dong-Ho Jo, Junghyo |
| contents | We study the global synchronization of hierarchically-organized Stuart-Landau oscillators, where each subsystem consists of three oscillators with activity-dependent couplings. We consider all possible coupling signs between the three oscillators, and find that they can generate different numbers of phase attractors depending on the network motif. Here, the subsystems are coupled through mean activities of total oscillators. Under weak inter-subsystem couplings, we demonstrate that the synchronization between subsystems is highly correlated with the number of attractors in uncoupled subsystems. Among the network motifs, perfect anti-symmetric ones are unique to generate both single and multiple attractors depending on the activities of oscillators. The flexible local complexity can make global synchronization controllable. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_1512_01922 |
| institution | arXiv |
| publishDate | 2015 |
| record_format | arxiv |
| spellingShingle | Local complexity predicts global synchronization of hierarchically networked oscillators Xu, Jin Park, Dong-Ho Jo, Junghyo Adaptation and Self-Organizing Systems Neurons and Cognition We study the global synchronization of hierarchically-organized Stuart-Landau oscillators, where each subsystem consists of three oscillators with activity-dependent couplings. We consider all possible coupling signs between the three oscillators, and find that they can generate different numbers of phase attractors depending on the network motif. Here, the subsystems are coupled through mean activities of total oscillators. Under weak inter-subsystem couplings, we demonstrate that the synchronization between subsystems is highly correlated with the number of attractors in uncoupled subsystems. Among the network motifs, perfect anti-symmetric ones are unique to generate both single and multiple attractors depending on the activities of oscillators. The flexible local complexity can make global synchronization controllable. |
| title | Local complexity predicts global synchronization of hierarchically networked oscillators |
| topic | Adaptation and Self-Organizing Systems Neurons and Cognition |
| url | https://arxiv.org/abs/1512.01922 |