@inbook{7720ede50fec41e4b5c31267e5c1a1f6,
title = "Modeling excitable dynamics of chemotactic networks",
abstract = "The study of chemotaxis has benefited greatly from computational models that describe the response of cells to chemoattractant stimuli. These models must keep track of spatially and temporally varying distributions of numerous intracellular species. Moreover, recent evidence suggests that these are not deterministic interactions, but also include the effect of stochastic variations that trigger an excitable network. In this chapter we illustrate how to create simulations of excitable networks using the Virtual Cell modeling environment.",
keywords = "Chemotaxis, Excitable systems, Mathematical model, Reaction-diffusion, Stochastic systems",
author = "Sayak Bhattacharya and Iglesias, {Pablo A}",
year = "2016",
doi = "10.1007/978-1-4939-3480-5_27",
language = "English (US)",
volume = "1407",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "397--415",
booktitle = "Methods in Molecular Biology",
}