"Nonlinear Dynamics" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos.
Descriptor ID |
D017711
|
MeSH Number(s) |
E05.599.850 H01.548.675
|
Concept/Terms |
Nonlinear Dynamics- Nonlinear Dynamics
- Dynamics, Nonlinear
- Nonlinear Dynamic
- Non-linear Dynamics
- Dynamics, Non-linear
- Non linear Dynamics
- Non-linear Dynamic
Models, Nonlinear- Models, Nonlinear
- Model, Nonlinear
- Nonlinear Model
- Nonlinear Models
- Non-linear Models
- Model, Non-linear
- Models, Non-linear
- Non linear Models
- Non-linear Model
Chaos Theory- Chaos Theory
- Chaos Theories
- Theories, Chaos
- Theory, Chaos
|
Below are MeSH descriptors whose meaning is more general than "Nonlinear Dynamics".
Below are MeSH descriptors whose meaning is more specific than "Nonlinear Dynamics".
This graph shows the total number of publications written about "Nonlinear Dynamics" by people in this website by year, and whether "Nonlinear Dynamics" was a major or minor topic of these publications.
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Year | Major Topic | Minor Topic | Total |
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1996 | 1 | 0 | 1 |
1998 | 1 | 0 | 1 |
1999 | 0 | 1 | 1 |
2000 | 0 | 2 | 2 |
2001 | 3 | 3 | 6 |
2002 | 0 | 4 | 4 |
2003 | 1 | 2 | 3 |
2004 | 0 | 1 | 1 |
2005 | 0 | 3 | 3 |
2006 | 1 | 3 | 4 |
2007 | 1 | 3 | 4 |
2008 | 2 | 2 | 4 |
2009 | 2 | 5 | 7 |
2010 | 0 | 5 | 5 |
2011 | 1 | 1 | 2 |
2012 | 1 | 3 | 4 |
2013 | 0 | 2 | 2 |
2014 | 0 | 4 | 4 |
2015 | 0 | 3 | 3 |
2016 | 1 | 1 | 2 |
2017 | 1 | 2 | 3 |
2018 | 0 | 2 | 2 |
2019 | 1 | 0 | 1 |
2020 | 2 | 0 | 2 |
2021 | 2 | 3 | 5 |
2022 | 0 | 1 | 1 |
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Below are the most recent publications written about "Nonlinear Dynamics" by people in Profiles.
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Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data. Neural Comput. 2022 06 16; 34(7):1545-1587.
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Evolution of the Wilson-Cowan equations. Biol Cybern. 2021 12; 115(6):643-653.
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Contrasting drivers of diversity in hosts and parasites across the tropical Andes. Proc Natl Acad Sci U S A. 2021 03 23; 118(12).
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Nonlinear effects of intrinsic dynamics on temporal encoding in a model of avian auditory cortex. PLoS Comput Biol. 2021 02; 17(2):e1008768.
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Two-State Kinetic Model of Rates of Stroke Recurrence in the POINT Study Population. Stroke. 2021 04; 52(4):1446-1449.
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Recurrent network dynamics shape direction selectivity in primary auditory cortex. Nat Commun. 2021 01 12; 12(1):314.
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Integrated Variational Approach to Conformational Dynamics: A Robust Strategy for Identifying Eigenfunctions of Dynamical Operators. J Phys Chem B. 2020 10 22; 124(42):9354-9364.
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Nonlinear mixed selectivity supports reliable neural computation. PLoS Comput Biol. 2020 02; 16(2):e1007544.
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Accurate Estimation of Neural Population Dynamics without Spike Sorting. Neuron. 2019 07 17; 103(2):292-308.e4.
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The Relationship Between Ictal Multi-Unit Activity and the Electrocorticogram. Int J Neural Syst. 2018 Dec; 28(10):1850027.