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Diverse coherence-resonance chimeras in coupled type-I excitable systems.
Taniya Khatun1, Biswabibek Bandyopadhyay1, Tanmoy Banerjee1
1Chaos and Complex Systems Research Laboratory, Department of Physics, University of Burdwan, Burdwan 713 104, West Bengal, India.
Physical Review. E
|December 23, 2022
Summary
Researchers observed coherence-resonance chimera in coupled type-I excitable systems, a phenomenon previously only seen in type-II systems. This study highlights noise
Area of Science:
- Nonlinear Dynamics
- Complex Systems
- Computational Neuroscience
Background:
- Coherence-resonance chimera, a hybrid phenomenon combining coherence-resonance and classical chimeras, was previously identified in type-II excitable systems.
- The occurrence of coherence-resonance chimera in type-I excitable systems remained unobserved, posing questions about its generality.
Purpose of the Study:
- To investigate and report the occurrence of coherence-resonance chimera in coupled type-I excitable systems.
- To explore the influence of noise intensity on the emergence of this phenomenon in type-I systems.
- To identify novel chimera patterns resulting from the interplay of classical and coherence-resonance effects.
Main Methods:
- Utilized a paradigmatic model of type-I excitability: the saddle-node infinite period (SNIPER) model.
- Simulated coupled SNIPER systems under varying noise intensities.
- Employed quantitative measures and parameter space mapping to analyze observed phenomena.
Main Results:
- Successfully demonstrated the emergence of coherence-resonance chimera in coupled type-I excitable systems.
- Identified an optimal range of noise intensity for the appearance of coherence-resonance chimera.
- Discovered a novel chimera pattern, a mixture of classical chimera and coherence-resonance chimera.
Conclusions:
- Coherence-resonance chimera is a general phenomenon observable in different types of excitable systems.
- Noise plays a crucial role in the dynamics of coupled excitable systems, facilitating complex emergent behaviors.
- This study deepens the understanding of noise-induced phenomena and chimera patterns in complex networks.
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