The selective attention for identification model (SAIM): Simulating visual search in natural colour images

The selective attention for identification model (SAIM): Simulating visual search in natural colour images

We recently presented a computational model of object recognition and attention: the Selective Attention for Identification model (SAIM) [1,2,3,4,5,6,7]. SAIM was developed to model normal attention and attentional disorders by implementing translation-invariant object recognition in multiple object...

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Bibliografiske detaljer
Main Authors:	Heinke, D, Backhaus, A, Sun, Y, Humphreys, G
Format:	Journal article
Sprog:	English
Udgivet:	2007

Lignende værker

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The attentional selection in visual search within short-term memory representations
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Udgivet: (2010-05-01)

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Bridging the gap between physiology and behavior: evidence from the sSoTS model of human visual attention.
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Simulating posterior parietal damage in a biologically plausible framework: neuropsychological tests of the search over time and space model.
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Does Colour Filling-In Account for Colour Perception in Natural Images?
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Driven to less distraction: rTMS of the right parietal cortex reduces attentional capture in visual search.
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