Εμφάνιση απλής εγγραφής

Cognitive modeling of dilution effects in visual search

dc.contributor.authorNeokleous, Kleanthis C.en
dc.contributor.authorAvraamides, Marios N.en
dc.contributor.authorNeocleous, Costas K.en
dc.contributor.authorSchizas, Christos N.en
dc.creatorNeokleous, Kleanthis C.en
dc.creatorAvraamides, Marios N.en
dc.creatorNeocleous, Costas K.en
dc.creatorSchizas, Christos N.en
dc.date.accessioned2019-11-13T10:41:27Z
dc.date.available2019-11-13T10:41:27Z
dc.date.issued2012
dc.identifier.issn0302-9743
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54609
dc.description.abstractA 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.en
dc.source19th International Conference on Neural Information Processing, ICONIP 2012en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84869050061&doi=10.1007%2f978-3-642-34475-6_10&partnerID=40&md5=beedf37135b6a6331b831fb99dbf1e9f
dc.subjectComputer simulationen
dc.subjectNeural networksen
dc.subjectData processingen
dc.subjectBiologically plausible neural networksen
dc.subjectCognitive modelingen
dc.subjectComputational Modelingen
dc.subjectDilutionen
dc.subjectDilution effecten
dc.subjectDilution theoryen
dc.subjectPerceptual Load Theoryen
dc.subjectSelective attentionen
dc.subjectSpiking Neural Networksen
dc.subjectVisual searchen
dc.titleCognitive modeling of dilution effects in visual searchen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/978-3-642-34475-6_10
dc.description.volume7663 LNCSen
dc.description.issuePART 1en
dc.description.startingpage76
dc.description.endingpage83
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Sponsors: United Development Company PSC (UDC)en
dc.description.notesQatar Petrochemical Companyen
dc.description.notesExxonMobilen
dc.description.notesQatar Petroleumen
dc.description.notesTexas A and M University at Qataren
dc.description.notesAsia Pacific Neural Network Assemblyen
dc.description.notesConference code: 93816</p>en
dc.source.abbreviationLect. Notes Comput. Sci.en
dc.contributor.orcidAvraamides, Marios N. [0000-0002-0049-8553]
dc.contributor.orcidSchizas, Christos N. [0000-0001-6548-4980]
dc.gnosis.orcid0000-0002-0049-8553
dc.gnosis.orcid0000-0001-6548-4980


Αρχεία σε αυτό το τεκμήριο

ΑρχείαΜέγεθοςΤύποςΠροβολή

Δεν υπάρχουν αρχεία που να σχετίζονται με αυτό το τεκμήριο.

Αυτό το τεκμήριο εμφανίζεται στις ακόλουθες συλλογές

Εμφάνιση απλής εγγραφής