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.
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DOI:
10.1039/c8cp06781c
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ID:
69871
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0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
69871
Unique Identifier:
10.1039/c8cp06781c
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Scimatic Chain (ID: 481)
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