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Highly Informative Natural Scene Regions Increase Microsaccade Production During Visual Scanning

Overview
Journal J Neurosci
Specialty Neurology
Date 2014 Feb 21
PMID 24553936
Citations 38
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Abstract

Classical image statistics, such as contrast, entropy, and the correlation between central and nearby pixel intensities, are thought to guide ocular fixation targeting. However, these statistics are not necessarily task relevant and therefore do not provide a complete picture of the relationship between informativeness and ocular targeting. Moreover, it is not known whether either informativeness or classical image statistics affect microsaccade production; thus, the role of microsaccades in information acquisition is also unknown. The objective quantification of the informativeness of a scene region is a major challenge, because it can vary with both image features and the task of the viewer. Thus, previous definitions of informativeness suffered from subjectivity and inconsistency across studies. Here we developed an objective measure of informativeness based on fixation consistency across human observers, which accounts for both bottom-up and top-down influences in ocular targeting. We then analyzed fixations in more versus less informative image regions in relation to classical statistics. Observers generated more microsaccades on more informative than less informative image regions, and such regions also exhibited low redundancy in their classical statistics. Increased microsaccade production was not explained by increased fixation duration, suggesting that the visual system specifically uses microsaccades to heighten information acquisition from informative regions.

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References
1.
Castelhano M, Henderson J . Initial scene representations facilitate eye movement guidance in visual search. J Exp Psychol Hum Percept Perform. 2007; 33(4):753-63. DOI: 10.1037/0096-1523.33.4.753. View

2.
De Graef P, Christiaens D, dYdewalle G . Perceptual effects of scene context on object identification. Psychol Res. 1990; 52(4):317-29. DOI: 10.1007/BF00868064. View

3.
Martinez-Conde S, Macknik S, Troncoso X, Hubel D . Microsaccades: a neurophysiological analysis. Trends Neurosci. 2009; 32(9):463-75. DOI: 10.1016/j.tins.2009.05.006. View

4.
Parkhurst D, Niebur E . Scene content selected by active vision. Spat Vis. 2003; 16(2):125-54. DOI: 10.1163/15685680360511645. View

5.
Yanulevskaya V, Marsman J, Cornelissen F, Geusebroek J . An Image Statistics-Based Model for Fixation Prediction. Cognit Comput. 2011; 3(1):94-104. PMC: 3059785. DOI: 10.1007/s12559-010-9087-7. View