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Title: Cognitive modeling of dilution effects in visual search
Authors: Schizas, Christos N.
Neokleous, Kleanthis C.
Avraamides, Marios N.
Neocleous, Costas 
Keywords: Biologically plausible neural networks
Cognitive modeling
Computational modeling
Dilution effect
Perceptual load theory
Selective attention
Spiking neural networks
Visual search
Computer simulation
Data processing
Neural networks
Issue Date: 2012
Publisher: Springer Berlin Heidelberg
Source: 19th International Conference, ICONIP, 2012, Qatar, Proceedings, Volume 7663, Issue PART 1, Pages 76-83
Abstract: A biologically plausible neural network model of selective attention has been implemented to account for discrepant findings on the source of distractor interference in visual search tasks. The model successfully simulated the findings from an experiment by Benoni and Tsal (2010) documenting the effects of dilution on distractor interference. In conjunction with previous implementations of the model, we have been able to offer a unifying account that settles the controversy between the Perceptual Load and the Dilution theories of selective attention. 2012 Springer-Verlag.
ISSN: 3029743
DOI: 10.1007/978-3-642-34475-6_10
Rights: Springer-Verlag Berlin Heidelberg
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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