Issue 6, 2019

Inhomogeneous membrane receptor diffusion explained by a fractional heteroscedastic time series model

Abstract

Single particle tracking experiments have recently uncovered that the motion of cell membrane components can undergo changes of diffusivity as a result of the heterogeneous environment, producing subdiffusion and nonergodic behavior. In this paper, we show that an autoregressive fractionally integrated moving average (ARFIMA) with noise given by generalized autoregressive conditional heteroscedasticity (GARCH) can describe inhomogeneous diffusion in the cell membrane, where the ARFIMA process models anomalous diffusion and the GARCH process explains a fluctuating diffusion parameter.

Graphical abstract: Inhomogeneous membrane receptor diffusion explained by a fractional heteroscedastic time series model

Supplementary files

Article information

Article type
Paper
Submitted
31 Oct 2018
Accepted
13 Jan 2019
First published
15 Jan 2019

Phys. Chem. Chem. Phys., 2019,21, 3114-3121

Inhomogeneous membrane receptor diffusion explained by a fractional heteroscedastic time series model

M. Balcerek, H. Loch-Olszewska, J. A. Torreno-Pina, M. F. Garcia-Parajo, A. Weron, C. Manzo and K. Burnecki, Phys. Chem. Chem. Phys., 2019, 21, 3114 DOI: 10.1039/C8CP06781C

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