Analysis of the noise-induced bursting-spiking transition in a pancreatic beta-cell model.
A stochastic model of the electrophysiological behavior of the pancreatic beta cell is studied, as a paradigmatic example of a bursting biological cell embedded in a noisy environment. The analysis is focused on the distortion that a growing noise causes to the basic properties of the membrane potential signals, such as their periodic or chaotic nature, and their bursting or spiking behavior. We present effective computational tools to obtain as much information as possible from these signals, and we suggest that the methods could be applied to real time series. Finally, a universal dependence of the main characteristics of the membrane potential on the size of the considered cell cluster is presented.
Aguirre
Jacobo
J
Nonlinear Dynamics and Chaos Group, Departamento de Matemáticas y Física Aplicadas y Ciencias de la Naturaleza, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spain.
Mosekilde
Erik
E
Sanjuán
Miguel A F
MA
D001683:Biological Clocks / Q000502:physiology*; D002450:Cell Communication / Q000502:physiology*; D003198:Computer Simulation; D007473:Ion Channels / Q000502:physiology*; D007515:Islets of Langerhans / Q000502:physiology*; D008564:Membrane Potentials / Q000502:physiology*; D008954:Models, Biological; D013269:Stochastic Processes
D007473:Ion Channels