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Saccadic Momentum and Facilitation of Return Saccades Contribute to an Optimal Foraging Strategy

Overview of attention for article published in PLoS Computational Biology, January 2013
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Title
Saccadic Momentum and Facilitation of Return Saccades Contribute to an Optimal Foraging Strategy
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002871
Pubmed ID
Authors

Niklas Wilming, Simon Harst, Nico Schmidt, Peter König

Abstract

The interest in saccadic IOR is funneled by the hypothesis that it serves a clear functional purpose in the selection of fixation points: the facilitation of foraging. In this study, we arrive at a different interpretation of saccadic IOR. First, we find that return saccades are performed much more often than expected from the statistical properties of saccades and saccade pairs. Second, we find that fixation durations before a saccade are modulated by the relative angle of the saccade, but return saccades show no sign of an additional temporal inhibition. Thus, we do not find temporal saccadic inhibition of return. Interestingly, we find that return locations are more salient, according to empirically measured saliency (locations that are fixated by many observers) as well as stimulus dependent saliency (defined by image features), than regular fixation locations. These results and the finding that return saccades increase the match of individual trajectories with a grand total priority map evidences the return saccades being part of a fixation selection strategy that trades off exploration and exploitation.

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Geographical breakdown

Country Count As %
Germany 6 9%
Hungary 1 1%
Switzerland 1 1%
Netherlands 1 1%
Spain 1 1%
Greece 1 1%
United States 1 1%
Unknown 56 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 15 22%
Researcher 12 18%
Professor 6 9%
Student > Bachelor 3 4%
Other 11 16%
Unknown 6 9%
Readers by discipline Count As %
Psychology 18 26%
Agricultural and Biological Sciences 13 19%
Neuroscience 8 12%
Computer Science 6 9%
Engineering 4 6%
Other 6 9%
Unknown 13 19%