Diffusivity estimation for activator–inhibitor models: theory and application to intracellular dynamics of the actin cytoskeleton
Cita com:
hdl:2117/359850
Document typeArticle
Defense date2021-06-01
PublisherSpringer Nature
Rights accessOpen Access
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
:
Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectCOMPUTATIONAL MODELLING OF BIOPHYSICAL PROCESSES AT MULTIPLE SCALES (AEI-PGC2018-095456-B-I00)
Abstract
A theory for diffusivity estimation for spatially extended activator–inhibitor dynamics
modeling the evolution of intracellular signaling networks is developed in the math-
ematical framework of stochastic reaction–diffusion systems. In order to account for
model uncertainties, we extend the results for parameter estimation for semilinear
stochastic partial differential equations
CitationFlemming, S.; Alonso, S.; Beta, C. Diffusivity estimation for activator–inhibitor models: theory and application to intracellular dynamics of the actin cytoskeleton. "Journal of Nonlinear Science", 1 Juny 2021, vol. 31, núm. 59, p. 1-34.
ISSN1432-1467
Publisher versionhttps://link.springer.com/article/10.1007%2Fs00332-021-09714-4
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