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Other ORP type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2026
License: CC BY
Data sources: Datacite
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Dynamical Routes to Dissipative Scaling in Biological Oscillators

Authors: Romberger, Devin;

Dynamical Routes to Dissipative Scaling in Biological Oscillators

Abstract

As of current, the combined 9 articles that were posted have a total of 484 views and 272 downloads within 11 days or less of being public, yet not 1 citation. I truly hope this has been helpful to your work. I will be the first to admit that I am a private researcher without grant funding, doing this on my own time and money. I do not have the privilege of publishing in large peer-reviewed journals. It is difficult for me to be turned down by every single academic/journal I have reached out to for help, including sponsorship (my home university included), simply because I do not hold a title. These reasons are why I chose to publish here. I know everything may not be perfect, but I knew there was something greater here, and I want to thank you all for indirectly confirming that. If anyone would be willing to help me get this out there and/or even be willing to collaborate, I would be happy to run your data through my pipeline. I would be extremely grateful to share more of my findings. If not, all I ask is to give credit where credit is due. Please reach me at me personally at http://linkedin.com/in/devin-romberger-92385420a. My goal was to make this work open source to the public. Now, please respect that. Please do the right thing. Reference your sources. Thank you. --------------------------------------------------------------------------------------------------------------------------------------------- Nonlinear oscillatory systems across physics, chemistry, and biology frequently transition to complex dynamics through well-known routes to chaos. These include period-doubling cascades, quasiperiodic torus breakdown, intermittency, mixed-mode oscillations, and period-adding structures. Understanding which dynamical routes dominate in biological oscillators—and how they relate to underlying dissipative scaling—remains an open question. Using examples compiled from the Biological Feigenbaum Spectrum (BFS) dataset, this memorandum surveys representative biological systems exhibiting classical nonlinear routes to chaos. Period-doubling cascades appear consistently across neural, biochemical, sensory, and cellular signaling systems, suggesting that this mechanism appears to be the most systematically documented route to complex dynamics in biological oscillators. Additional examples demonstrate that alternative routes—including period-adding cascades, intermittency, mixed-mode oscillations, and torus bifurcations—also occur in biological contexts, although these are less uniformly documented. Together with recent numerical results on dissipative scaling in driven open quantum systems, these observations suggest that biological oscillators share a common dynamical landscape with broader non-equilibrium physics. Period-doubling provides a dominant organizing structure, while additional routes illustrate the broader diversity of nonlinear transitions available to dissipative biological dynamics. Keywords: Nonlinear dynamicsBiological oscillatorsPeriod-doubling cascadeRoutes to chaosDissipative systemsNon-equilibrium dynamicsBiochemical oscillationsNeuronal dynamicsComplex dynamical systemsChaos in biological systems

Keywords

Dissipative systems, Biological oscillators, Nonlinear dynamics, Period-doubling cascade, Neuronal dynamics, Complex dynamical systems, Chaos in biological systems, Routes to chaos, Non-equilibrium dynamics, Biochemical oscillations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average