Please use this identifier to cite or link to this item:
|Title:||Cognitive modeling of dilution effects in visual search||Authors:||Schizas, Christos N.
Neokleous, Kleanthis C.
Avraamides, Marios N.
|Keywords:||Biologically plausible neural networks
Perceptual load theory
Spiking 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.||URI:||http://ktisis.cut.ac.cy/jspui/handle/10488/3637||ISSN:||3029743||DOI:||10.1007/978-3-642-34475-6_10||Rights:||Springer-Verlag Berlin Heidelberg|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
checked on Aug 18, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.