DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, BT | ko |
dc.contributor.author | Lee, Soo-Young | ko |
dc.date.accessioned | 2009-07-23T02:57:10Z | - |
dc.date.available | 2009-07-23T02:57:10Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2004-06 | - |
dc.identifier.citation | NEUROCOMPUTING, v.58, pp.633 - 640 | - |
dc.identifier.issn | 0925-2312 | - |
dc.identifier.uri | http://hdl.handle.net/10203/10221 | - |
dc.description.abstract | Top-down attention is a cognitive mechanism to filter out irrelevant information from sensory input. Unlike bottom-up attention based on the sensory signal itself the top-down attention process is originated from the higher brain, which consists of previous knowledge about the sensory signals. A simple computational model is developed for the top-down attention. In this model an attention gain coefficient is assigned to each input feature, and all the attention gain coefficients are dynamically adjusted based on previous knowledge. A multilayer Perceptron is used to model the knowledge in the higher brain. The developed model demonstrates excellent capability of extracting and recognizing each pattern sequentially from superimposed dual-class patterns studied in visual perception. (C) 2004 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | Sequential recognition of superimposed patterns with top-down selective attention | - |
dc.type | Article | - |
dc.identifier.wosid | 000222245900094 | - |
dc.identifier.scopusid | 2-s2.0-2542474280 | - |
dc.type.rims | ART | - |
dc.citation.volume | 58 | - |
dc.citation.beginningpage | 633 | - |
dc.citation.endingpage | 640 | - |
dc.citation.publicationname | NEUROCOMPUTING | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, Soo-Young | - |
dc.contributor.nonIdAuthor | Kim, BT | - |
dc.type.journalArticle | Article; Proceedings Paper | - |
dc.subject.keywordAuthor | selective attention | - |
dc.subject.keywordAuthor | superimposed patterns | - |
dc.subject.keywordAuthor | dual-class patterns | - |
dc.subject.keywordAuthor | top-down expectation | - |
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