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Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories

Many complex systems operating far from the equilibrium exhibit stochastic dynamics that can be described by a Langevin equation. Inferring Langevin equations from data can reveal how transient dynamics of such systems give rise to their function. However, dynamics are often inaccessible directly an...

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Detalles Bibliográficos
Autores principales: Genkin, Mikhail, Hughes, Owen, Engel, Tatiana A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514604/
https://www.ncbi.nlm.nih.gov/pubmed/34645828
http://dx.doi.org/10.1038/s41467-021-26202-1