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Synchronization by uncorrelated noise: interacting rhythms in interconnected oscillator networks
John Hongyu Meng1, Hermann Riecke2
1Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL, 60208, USA.
Scientific Reports
|May 5, 2018
Summary
Collective rhythms in coupled oscillator networks can synchronize via noise, even with uncorrelated inputs. Reduced within-network synchrony enhances cross-network entrainment, crucial for brain rhythm dynamics.
Area of Science:
- Neuroscience
- Complex Systems
- Physics
Background:
- Coupled oscillators in networks generate population rhythms.
- Interactions between multiple population rhythms remain poorly understood.
- The synchronization of collective rhythms differs from individual oscillator synchronization.
Purpose of the Study:
- To investigate how multiple population rhythms interact and synchronize.
- To explore novel mechanisms of synchronization in coupled oscillator networks.
- To determine the role of network synchrony in cross-network entrainment.
Main Methods:
- Simulations of coupled oscillator networks with varying coupling strengths and connectivities.
- Analysis of synchronization properties under different noise conditions.
- Investigation of network entrainment by external periodic inputs.
Main Results:
- Strong inhibitory coupling can synchronize population rhythms via noise.
- This noise-induced synchronization occurs even with uncorrelated inputs to individual oscillators.
- Reduced within-network synchrony broadens the frequency range for entrainment by external networks or pacemakers.
Conclusions:
- Noise can synchronize collective rhythms in oscillator networks through a novel mechanism.
- Network properties, specifically reduced internal synchrony, are key for robust cross-network synchronization.
- Findings are relevant for understanding brain rhythms and neural population dynamics.
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