Neuronal oscillatory patterns in coupled lasers with optical feedback
Carlos L. Pando Lambruschini
Chaos, Solitons & Fractals, 2024, vol. 181, issue C
Abstract:
We investigate the intensity time series in a pair of mutually coupled laser oscillators, which display some essential patterns observed in the neuronal oscillations in the brain of mammals. An asymmetry is implemented by a mismatch among the laser pump parameters, while the coupling scheme is induced by fast saturable absorbers, which interact with a beam that coherently combines the electric fields of both lasers. The laser oscillator with the smaller pump level exhibits mixed-mode oscillations (MMOs), a class of large amplitude oscillations (LAOs), while the other one displays small amplitude oscillations (SAOs). An additional relevant neuronal oscillatory pattern is the frequency of oscillations, which is higher for the SAOs compared to that of the MMOs. Depending on the coupling parameters, these two robust patterns can emerge as a result of a boundary crisis or an interior crisis. In both cases the dynamics display robust hyperchaotic behavior with two positive Lyapunov exponents of similar order of magnitude in the intensity time series. Nevertheless, in these time series the correlation dimension remains essentially unchanged. These two robust patterns, which are also found in many systems displaying chimera states, persist in the coupled lasers as the phase mismatch changes in the beam combining fields.
Keywords: Laser; Coupled nonlinear oscillators; Time series; Hyperchaos; Unihemispheric brain patterns (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096007792400153X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:181:y:2024:i:c:s096007792400153x
DOI: 10.1016/j.chaos.2024.114602
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().