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El. knyga: Physics of Biological Oscillators: New Insights into Non-Equilibrium and Non-Autonomous Systems

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  • Formatas: EPUB+DRM
  • Serija: Understanding Complex Systems
  • Išleidimo metai: 05-May-2021
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030598051
Kitos knygos pagal šią temą:
Physics of Biological Oscillators: New Insights into Non-Equilibrium and Non-Autonomous SystemsDidesnis paveikslėlis
  • Formatas: EPUB+DRM
  • Serija: Understanding Complex Systems
  • Išleidimo metai: 05-May-2021
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030598051
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This book, based on a selection of invited presentations from a topical workshop, focusses on time-variable oscillations and their interactions. The problem is challenging, because the origin of the time variability is usually unknown. In mathematical terms, the oscillations are non-autonomous, reflecting the physics of open systems where the function of each oscillator is affected by its environment.  Time-frequency analysis being essential, recent advances in this area, including wavelet phase coherence analysis and nonlinear mode decomposition, are discussed. Some applications to biology and physiology are described.

Although the most important manifestation of time-variable oscillations is arguably in biology, they also crop up in, e.g. astrophysics, or for electrons on superfluid helium. The book brings together the research of the best international experts in seemingly very different disciplinary areas. 

Chapter
1. Introduction.- Part
1. Theory.
Chapter
2. Phase and
amplitude description of complex oscillatory patterns in reaction diffusion
systems.
Chapter
3. Reduced phase models of oscillatory neural networks.-
Chapter
4. Nonautonomous attractors.
Chapter
5. Normal hyperbolicity for
non-autonomous oscillators and oscillator networks.
Chapter
6.
Synchronisation and non-autonomicity.
Chapter
7. Non-asymptotic-time
dynamics.
Chapter
8. Synchronization of coupled oscillators phase
transitions and entropy production.- Part
2. Model-Driven and Data-Driven
approaches.
Chapter
9. On localised modes in bio-inspired hierarchically
organised oscillatory chains.
Chapter
10. Useful transformations from
non-autonomous to autonomous systems.
Chapter
11. Coupling functions in
neuroscience.
Chapter
12. Phase reconstruction with iterated Hilbert
transforms.- Part
3. Biological Oscillators.
Chapter
13. Oscillations in
yeast glycolysis Lars Folke Olsen and Anita Lunding.
Chapter
14.
Oscillations, rhythms and synchronized time bases: the key signatures of
life.
Chapter
15. Glycolytic oscillations in cancer cells.
Chapter
16.
Mechanism and consequence of vasomotion.
Chapter
17. Biological oscillations
of vascular origin and their meaning: in vivo studies of arteriolar
vasomotion.
Chapter
18. Phase coherence of nger skin blood ow oscillations
induced by controlled breathing in humans.
Chapter
19. Complexity-based
analysis of microvascular blood ow in human skin.
Chapter
20. Modulations
of heart rate, ECG, and cardio-respiratory coupling observed in
polysomnography.
Chapter
21. Brain morphological and functional networks:
implications for neurodegeneration.- Part
4. Applications.
Chapter
22.
Predicting epileptic seizures an update.
Chapter
23. General anęsthesia
and oscillations in human physiology: the BRACCIA project.
Chapter
24.
Processed EEG as a measure of brain activity during anaesthesia.
Chapter
25.
Medical products inspired by biological oscillators: intermittent pneumatic
compression and the microcirculation.
Chapter
26. Phase coherence between
cardiovascular oscillations in malaria: the basis for a possible diagnostic
test.- Part
5. Outlook.
Chapter
27. Outlook.
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