Bifurcation analysis of a model of the budding yeast cell cycle
We study the bifurcations of a set of nine nonlinear ordinary differential equations that describe the regulation of the cyclin-dependent kinase that triggers DNA synthesis and mitosis in the budding yeast, Saccharomyces cerevisiae.
Battogtokh, Dorjsuren, Tyson, John J.
core +1 more source
Mean field approximation of two coupled populations of excitable units
The analysis on stability and bifurcations in the macroscopic dynamics exhibited by the system of two coupled large populations comprised of $N$ stochastic excitable units each is performed by studying an approximate system, obtained by replacing each ...
A. Pikovsky +17 more
core +1 more source
Statistical multi-moment bifurcations in random delay coupled swarms
We study the effects of discrete, randomly distributed time delays on the dynamics of a coupled system of self-propelling particles. Bifurcation analysis on a mean field approximation of the system reveals that the system possesses patterns with certain ...
Brandon Lindley +4 more
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Canard explosion in delayed equations with multiple timescales [PDF]
We analyze canard explosions in delayed differential equations with a one-dimensional slow manifold. This study is applied to explore the dynamics of the van der Pol slow-fast system with delayed self-coupling.
Krupa, Maciej, Touboul, Jonathan D.
core
Characterization of cascadable excitability in a silicon-on-insulator microring [PDF]
C
Bienstman, Peter +10 more
core +1 more source
Immune Modulation in the Tumor Microenvironment: Bifurcation Analysis of Cancer-CTL-Monocyte Dynamics. [PDF]
Hernandez-Lopez E, Milne R, Wang X.
europepmc +1 more source
Delayed dynamics and detoxification in nutrient-phytoplankto-by-product systems: mechanisms driving bloom stability and oscillations. [PDF]
Baghel RS, Verma S, Khatri N.
europepmc +1 more source
Amplification of magnetic field effects <i>via</i> critical dynamics in a nonlinear oscillatory system. [PDF]
Zhang S +4 more
europepmc +1 more source
Emergence of multifrequency activity in a laminar neural mass model. [PDF]
de Palma Aristides R +4 more
europepmc +2 more sources
Deep learning for predicting the occurrence of tipping points. [PDF]
Zhuge C, Li J, Chen W.
europepmc +1 more source

