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  Center-surround patterns emerge as optimal predictors for human saccade targets

Kienzle, W., Franz, M., Schölkopf, B., & Wichmann, F. (2009). Center-surround patterns emerge as optimal predictors for human saccade targets. Journal of Vision, 9(5): 7, pp. 1-15. doi:10.1167/9.5.7.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C4CB-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-C057-3
Genre: Journal Article

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 Creators:
Kienzle, W1, 2, Author              
Franz, MO1, 2, Author              
Schölkopf, B1, 2, Author              
Wichmann, FA1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: The human visual system is foveated, that is, outside the central visual field resolution and acuity drop rapidly. Nonetheless much of a visual scene is perceived after only a few saccadic eye movements, suggesting an effective strategy for selecting saccade targets. It has been known for some time that local image structure at saccade targets influences the selection process. However, the question of what the most relevant visual features are is still under debate. Here we show that center-surround patterns emerge as the optimal solution for predicting saccade targets from their local image structure. The resulting model, a one-layer feed-forward network, is surprisingly simple compared to previously suggested models which assume much more complex computations such as multi-scale processing and multiple feature channels. Nevertheless, our model is equally predictive. Furthermore, our findings are consistent with neurophysiological hardware in the superior colliculus. Bottom-up visual saliency may thus not be computed cortically as has been thought previously.

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 Dates: 2009-05
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1167/9.5.7
BibTex Citekey: 5890
 Degree: -

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Title: Journal of Vision
Source Genre: Journal
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Publ. Info: Charlottesville, VA : Scholar One, Inc.
Pages: - Volume / Issue: 9 (5) Sequence Number: 7 Start / End Page: 1 - 15 Identifier: ISSN: 1534-7362
CoNE: https://pure.mpg.de/cone/journals/resource/111061245811050