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A nonlinear memductance induced intermittent and anti-phase synchronization
M Paul Asir1, K Sathiyadevi2, P Philominathan3
1Department of Physics, Central University of Rajasthan, Ajmer 305 817, India.
We present a model of coupled oscillators using nonlinear memductance, revealing dynamic coupling that leads to synchronization or anti-synchronization. This study impacts neuronal network research by exploring synchronization patterns.
Area of Science:
- Nonlinear dynamics
- Complex systems
- Network science
Background:
- Coupled oscillators are fundamental in various scientific fields.
- Understanding dynamic coupling is crucial for complex system behavior.
- Nonlinear memductance offers a novel mechanism for dynamic interactions.
Purpose of the Study:
- To introduce a model for oscillators coupled via mean-field nonlinear memductance.
- To investigate how dynamic nonlinearity influences oscillator coupling.
- To explore synchronization and anti-synchronization phenomena in such systems.
Main Methods:
- Development of a mathematical model for mean-field coupled oscillators.
- Incorporation of nonlinear memductance to induce dynamic coupling.
- Analysis of system behavior under varying forcing frequencies and coupling strengths.
- Validation through numerical simulations.
Main Results:
- Nonlinear memductance creates dynamic coupling, altering interaction direction over time.
- Observed synchronization and anti-synchronization manifolds based on system parameters.
- Identified anti-phase and intermittent synchronization patterns.
- Demonstrated a transition from intermittent to complete synchronization via anti-phase synchronization with increasing coupling.
Conclusions:
- The proposed model effectively captures complex dynamics in coupled oscillators.
- Dynamic coupling driven by nonlinear memductance offers new insights into synchronization phenomena.
- Findings have significant implications for understanding neuronal network dynamics and collective behavior.
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