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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 461672.0, MPI für biologische Kybernetik / Biologische Kybernetik
Center-surround patterns emerge as optimal predictors for human saccade targets
Authors:Kienzle, W.; Franz, M.O.; Schölkopf, B.; Wichmann, F.A.
Date of Publication (YYYY-MM-DD):2009-05
Title of Journal:Journal of Vision
Volume:9
Issue / Number:5:7
Start Page:1
End Page:15
Audience:Not Specified
Intended Educational Use:No
Abstract / Description: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.
External Publication Status:published
Document Type:Article
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:5890
URL:http://journalofvision.org/9/5/7/Kienzle-2009-jov-...
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