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Published on: September 8, 2023
Global convergence of quorum-sensing networks
Giovanni Russo1, Jean Jacques E Slotine
1Department of Systems and Computer Engineering, University of Naples Federico II, Napoli, Italy. giovanni.russo2@unina.it
This study explores environmental communication in synchronization, like bacterial quorum sensing. It models how shared environmental dynamics influence network synchronization, with system biology applications.
Area of Science:
- Complex Systems
- Nonlinear Dynamics
- Systems Biology
Background:
- Natural synchronization often involves indirect communication via the environment.
- Bacterial quorum sensing exemplifies this, using environmental signaling molecules for population coordination.
Purpose of the Study:
- To analyze synchronization in networks with environment-mediated coupling.
- To develop a general nonlinear dynamical system model for such phenomena.
- To incorporate the influence of the shared environmental variables' dynamics.
Main Methods:
- Developed a mathematical model for network synchronization via shared environmental quantities.
- Analyzed the role of environmental dynamics in coupling and synchronization.
- Applied the model to illustrate synchronization in system biology examples.
Main Results:
- Demonstrated that environmental coupling can effectively drive synchronization in networks.
- Showcased the importance of considering the dynamics of shared environmental variables.
- Validated the model's applicability through system biology case studies.
Conclusions:
- The proposed framework provides a general approach to understanding environment-mediated synchronization.
- This model is applicable to diverse natural and engineered systems exhibiting collective behavior.
- Highlights the significance of environmental feedback in emergent coordination phenomena.
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