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abstract: 'Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expected or predicted information. Such observations are inconsistent with the predictive coding theory of cortical function which proposes that feedback acts to suppress information predicted by higher-level cortical regions. Despite this discrepancy, this article demonstrates that the predictive coding model can be used to simulate a number of the effects of attention. This is achieved via a simple mathematical rearrangement of the predictive coding model, which allows it to be interpreted as a form of biased competition model. Nonlinear extensions to the model are proposed that enable it to explain a wider range of data.'
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creators_name:
- family: Spratling
given: Michael W
honourific: ''
lineage: ''
date: 2008
date_type: published
datestamp: 2009-02-13 01:12:02
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dir: disk0/00/00/63/54
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eprint_status: archive
eprintid: 6354
fileinfo: /style/images/fileicons/application_pdf.png;/6354/1/visres08.pdf
full_text_status: public
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keywords: neural networks; cortical circuits; cortical feedback; attention; binding problem
lastmod: 2011-03-11 08:57:19
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number: 12
pagerange: 1391-1408
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publication: Vision Research
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reportno: ~
rev_number: 26
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status_changed: 2009-02-13 01:12:02
subjects:
- neuro-mod
- comp-neuro-sci
- percep-cog-psy
- comp-sci-neural-nets
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title: Predictive Coding as a Model of Biased Competition in Visual Attention
type: journalp
userid: 1040
volume: 48