A competitive network for multi-object selection (CROSBI ID 581511)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Domijan, Dražen
engleski
A competitive network for multi-object selection
Psychophysical and neurophysiological investi-gations shows that visual system is able to simultaneously select and attend to multiple objects present in the visual scene. A neural network is proposed with the ability to select multiple objects simultaneously if they share the same level of saliency. The model is based on the segmentation network which labels all spatial locations occupied by the object with the same activity level. Computer simulations showed that the model can perform visual search task with parallel access to multiple instances of the same object. Visual search is implemented using dynamic routing circuit which achieves translation-invariant representation of selected objects. Attentional shifts are imple-mented using template matching between sensory and memory representation. If there is a mismatch between them, a global inhibition drives the whole network to search for a new pattern. The proposed network is able to select objects even when their visual representation is corrupted with Gaussian noise. The model’s behavior is consistent with the Boolean map theory of visual attention.
Attention; Neural networks; Lateral inhibition; WTA
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Podaci o prilogu
1-6.
2010.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of thw World Congress on Computational Intelligence
Barcelona: Institute of Electrical and Electronics Engineers (IEEE)
978-1-4244-6916-1
Podaci o skupu
2010 World Congress on Computational Intelligence
poster
18.07.2010-23.07.2010
Barcelona, Španjolska