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• W2022083463 startingPage "e33110" @default.
• W2022083463 abstract "Bistable dynamical switches are frequently encountered in mathematical modeling of biological systems because binary decisions are at the core of many cellular processes. Bistable switches present two stable steady-states, each of them corresponding to a distinct decision. In response to a transient signal, the system can flip back and forth between these two stable steady-states, switching between both decisions. Understanding which parameters and states affect this switch between stable states may shed light on the mechanisms underlying the decision-making process. Yet, answering such a question involves analyzing the global dynamical (i.e., transient) behavior of a nonlinear, possibly high dimensional model. In this paper, we show how a local analysis at a particular equilibrium point of bistable systems is highly relevant to understand the global properties of the switching system. The local analysis is performed at the saddle point, an often disregarded equilibrium point of bistable models but which is shown to be a key ruler of the decision-making process. Results are illustrated on three previously published models of biological switches: two models of apoptosis, the programmed cell death and one model of long-term potentiation, a phenomenon underlying synaptic plasticity." @default.
• W2022083463 created "2016-06-24" @default.
• W2022083463 creator A5017662323 @default.
• W2022083463 creator A5051090370 @default.
• W2022083463 creator A5067642477 @default.
• W2022083463 date "2012-03-15" @default.
• W2022083463 modified "2023-10-18" @default.
• W2022083463 title "Global Analysis of Dynamical Decision-Making Models through Local Computation around the Hidden Saddle" @default.
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• W2022083463 doi "https://doi.org/10.1371/journal.pone.0033110" @default.
• W2022083463 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3305308" @default.
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• W2022083463 hasPublicationYear "2012" @default.
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