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Emergent multiscale dynamics in photonic neurons with dual feedback
1Physics Department, Whitman College, Walla Walla, WA, 99362, USA. aragonea@whitman.edu.
Scientific Reports
|November 29, 2025
Summary
Complex dynamical systems exhibit multiscale dynamics. This study reveals how fast and slow events in a photonic neuron cooperatively generate emergent behavior, enhancing temporal correlations across scales.
Area of Science:
- Physics
- Complex Systems Science
- Photonics
Background:
- Complex dynamical systems display multiscale dynamics, with interacting fast and slow processes.
- Understanding these interactions is crucial for modeling emergent behavior, especially when coarse-graining across scales.
- Photonic neurons offer a controllable platform to study such multiscale phenomena.
Purpose of the Study:
- To investigate the interplay between fast and slow dynamics in a photonic neuron with dual feedback.
- To analyze how these multiscale interactions lead to emergent behavior and influence temporal correlations.
- To demonstrate the potential of photonic systems for studying complex dynamics.
Main Methods:
- Time series analysis of a photonic neuron with dual feedback.
- Analysis of inter-peak intervals to characterize fast and slow events.
- Ordinal analysis to uncover complex temporal correlations and multiscale interactions.
Main Results:
- Rich multiscale interactions were observed between fast peaks and slow spikes.
- Cooperative generation of emergent behavior through the interplay of fast and slow dynamics.
- Dual feedback was found to enhance and stabilize temporal correlations across multiple scales.
Conclusions:
- Multiscale interactions are fundamental to emergent behavior in complex dynamical systems.
- Controllable photonic systems can effectively model and demonstrate these multiscale phenomena.
- Findings have implications for understanding diverse complex systems beyond photonics.
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