Abstract
One of the major challenges in vision research is to analyze the effect of visual stimuli on human vision. However, no relationship has been yet discovered between the structure of the visual stimulus, and the structure of fixational eye movements. This study reveals the plasticity of human fixational eye movements in relation to the ‘complex’ visual stimulus. We demonstrated that the fractal temporal structure of visual dynamics shifts towards the fractal dynamics of the visual stimulus (image). The results showed that images with higher complexity (higher fractality) cause fixational eye movements with lower fractality. Considering the brain, as the main part of nervous system that is engaged in eye movements, we analyzed the governed Electroencephalogram (EEG) signal during fixation. We have found out that there is a coupling between fractality of image, EEG and fixational eye movements. The capability observed in this research can be further investigated and applied for treatment of different vision disorders.
Highlights
One of the major challenges in vision research is to analyze the effect of visual stimuli on human vision
Considering that fixation duration and saccade length are random variables generated by an underlying stochastic process, the goal of this study was to analyze the effect of fractal structure of visual stimulus on fractal dynamics of human fixational eye movements
The application of the visual stimulus reduced the fractal dimension of fixational eye movements
Summary
One of the major challenges in vision research is to analyze the effect of visual stimuli on human vision. Schmeisser et al.[11] analyzed the eye movements of normal and abnormal readers for evidence of chaotic, nonlinear dynamical behaviour Based on their results, the computed fractal dimension of the system’s presumed attractor directly related to qualitative assessment of reading ability. Some studies analyzed the eye movements without considering its fractal dynamics, but focusing on fractal structure of visual stimulus. In a recent study Marlow et al investigated the dynamic structure of human gaze over time during free viewing of computer-generated fractal images using the Hurst exponent. They found out that the Hurst exponent was invariant across all participants, including those with distinct changes to higher order visual processes due to neural degeneration[17]. Based on all these studies, stimuli have a powerful draw on the allocation of subjects’ eyes attention
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