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Published on: April 4, 2016
Two paradigmatic scenarios for inverse stochastic resonance
1Scientific Computing Laboratory, Center for the Study of Complex Systems, Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia.
Inverse stochastic resonance, a phenomenon where oscillations minimize at intermediate noise levels, was studied in coupled active rotators. Two scenarios demonstrate this effect: switching between states in the excitable regime and noise-enhanced stability in the oscillatory regime.
Area of Science:
- Nonlinear Dynamics
- Statistical Physics
- Complex Systems
Background:
- Inverse stochastic resonance (ISR) is a nonlinear phenomenon where system oscillation frequency decreases with increasing noise intensity, reaching a minimum at intermediate levels.
- Understanding ISR is crucial for analyzing complex systems influenced by noise, such as biological networks and climate models.
Purpose of the Study:
- To demonstrate and elucidate two generic mechanisms for inverse stochastic resonance in adaptively coupled stochastic active rotators.
- To explore the role of system dynamics near bifurcation thresholds in generating ISR.
Main Methods:
- Utilized a paradigmatic model of two adaptively coupled stochastic active rotators.
- Analyzed system behavior in both excitable and oscillatory regimes near bifurcation thresholds.
- Employed slow-fast analysis to detail the mechanisms underlying the observed resonant effects.
Main Results:
- Demonstrated ISR in two distinct scenarios: biased switching between metastable states in the excitable regime, and noise-enhanced stability of an unstable fixed point in the oscillatory regime.
- Showcased that ISR emerges at intermediate noise levels due to specific dynamic behaviors of the coupled rotators.
- Provided detailed mechanistic explanations for ISR based on the underlying dynamics of the noiseless systems.
Conclusions:
- Inverse stochastic resonance can arise from distinct mechanisms in systems operating near bifurcation thresholds.
- The study provides a deeper understanding of noise-induced phenomena in nonlinear oscillatory systems.
- The findings contribute to the broader field of stochastic resonance and its applications in complex systems.
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