Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 58 min ago
Peer-reviewedCC BYThe European physical journal. Special topics

Temporal organization in living systems: toward a physics of life.

  1. 1School of Physics and Astronomy, Lancaster University, Lancaster, UK.
  2. 2Department of Systems and Control Engineering, Institute of Science Tokyo, Tokyo, Japan.
  3. 3Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.

Abstract

Classical dynamical systems theory is based on asymptotic stability assumptions. This approach has long dominated theoretical biology, providing insight into stability and functional organization. Yet, living systems rarely converge to static attractors; rather, they adapt continuously and exhibit structural plasticity. We examine the limitations of purely asymptotic descriptions and consider extensions such as metastability and chronotaxicity. We argue that temporal organization provides a useful perspective for understanding living systems and examine how chronotaxicity offers a mathematical description of systems where function and stability can emerge from the maintenance of timing relationships across scales through mutual coupling. This synthesis points toward the development of a broader physics of living systems that integrates non-equilibrium and non-autonomous dynamics with measurable coordination invariants, while providing a basis for both theoretical formalization and the extraction of biologically relevant information from time-series data.

Related

  1. Data-driven stochastic reconstruction of dengue epidemic dynamics: state-dependent stochasticity and temporal organization
    Tongbram Surkumar Singh, Mairembam Kelvin Singh, Athokpam Langlen Chanu +1
    arXivPreprintCC BY 4.0Full textBiological & medical physicsarXiv
  2. Continuous Game of Life: cell emergence and self-organization at the edge of growth
    Alexandre Guillet, Frank Jülicher
    arXivPreprintCC BY 4.0Full textBiological & medical physicsStatistical & nonlinear physicsarXiv
  3. Kinetics of Self-Organization in One Component Active Matter Systems
    Avinash Chauhan, Prasenjit Das
    arXivPreprintCC BY 4.0Full textCondensed matterarXiv
  4. 3D-printed experimental devices for teaching dynamical systems in physics
    Mario Silva, Victoria López, Daniel Freire +1
    arXivPreprintarXiv licenceFull textGeneral physicsarXiv
  5. Coherence, transformation, and breakdown in living systems: part II - predictions and implications for systemic health.
    Andreas Nicolaides
    Frontiers in systems biologyPeer-reviewedCC BYFull textStatistical & nonlinear physicsEurope PMCPMC
BibTeX
@article{stefanovska2026temporal,
  title = {{Temporal organization in living systems: toward a physics of life.}},
  author = {Aneta Stefanovska},
  journal = {The European physical journal. Special topics},
  year = {2026},
  month = oct,
  doi = {10.1140/epjs/s11734-026-02588-1},
  url = {https://europepmc.org/article/MED/42999684},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Temporal organization in living systems: toward a physics of life.
AU  - Aneta Stefanovska
PY  - 2026
DA  - 2026/10/06
JO  - The European physical journal. Special topics
DO  - 10.1140/epjs/s11734-026-02588-1
UR  - https://europepmc.org/article/MED/42999684
AB  - Classical dynamical systems theory is based on asymptotic stability assumptions. This approach has long dominated theoretical biology, providing insight into stability and functional organization. Yet, living systems rarely converge to static attractors; rather, they adapt continuously and exhibit structural plasticity. We examine the limitations of purely asymptotic descriptions and consider extensions such as metastability and chronotaxicity. We argue that temporal organization provides a useful perspective for understanding living systems and examine how chronotaxicity offers a mathematical description of systems where function and stability can emerge from the maintenance of timing relationships across scales through mutual coupling. This synthesis points toward the development of a broader physics of living systems that integrates non-equilibrium and non-autonomous dynamics with measurable coordination invariants, while providing a basis for both theoretical formalization and the extraction of biologically relevant information from time-series data.
SN  - 1951-6355
SN  - 1951-6401
ER  -