Bayesian estimation of the scaling parameter of fixational eye movements
1 Interdisciplinary Center for Dynamics of Complex Systems, University of Potsdam - Karl-Liebknecht-Str. 24, 14476 Potsdam, Germany, EU
2 Cognitive Science Program, University of Potsdam - Karl-Liebknecht-Str. 24, 14476 Potsdam, Germany, EU
Received: 11 June 2012
Accepted: 9 November 2012
In this study we re-evaluate the estimation of the self-similarity exponent of fixational eye movements using Bayesian theory. Our analysis is based on a subsampling decomposition, which permits an analysis of the signal up to some scale factor. We demonstrate that our approach can be applied to simulated data from mathematical models of fixational eye movements to distinguish the models' properties reliably.
PACS: 05.10.-a – Computational methods in statistical physics and nonlinear dynamics / 87.19.lt – Sensory systems: visual, auditory, tactile, taste, and olfaction / 89.75.Da – Systems obeying scaling laws
© EPLA, 2012