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Pregled bibliografske jedinice broj: 552954

A competitive network for multi-object selection


Domijan, Dražen
A competitive network for multi-object selection // Proceedings of thw World Congress on Computational Intelligence
Barcelona: Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 1-6 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 552954 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A competitive network for multi-object selection

Autori
Domijan, Dražen

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of thw World Congress on Computational Intelligence / - Barcelona : Institute of Electrical and Electronics Engineers (IEEE), 2010, 1-6

ISBN
978-1-4244-6916-1

Skup
2010 World Congress on Computational Intelligence

Mjesto i datum
Barcelona, Španjolska, 18.07.2010. - 23.07.2010

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Attention; Neural networks; Lateral inhibition; WTA

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija



POVEZANOST RADA


Projekti:
009-0362214-0818 - Neuronsko modeliranje i bihevioralno testiranje vidne percepcije i kognicije (Domijan, Dražen, MZOS ) ( CroRIS)

Ustanove:
Filozofski fakultet, Rijeka

Profili:

Avatar Url Dražen Domijan (autor)


Citiraj ovu publikaciju:

Domijan, Dražen
A competitive network for multi-object selection // Proceedings of thw World Congress on Computational Intelligence
Barcelona: Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 1-6 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Domijan, D. (2010) A competitive network for multi-object selection. U: Proceedings of thw World Congress on Computational Intelligence.
@article{article, author = {Domijan, Dra\v{z}en}, year = {2010}, pages = {1-6}, keywords = {Attention, Neural networks, Lateral inhibition, WTA}, isbn = {978-1-4244-6916-1}, title = {A competitive network for multi-object selection}, keyword = {Attention, Neural networks, Lateral inhibition, WTA}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Barcelona, \v{S}panjolska} }
@article{article, author = {Domijan, Dra\v{z}en}, year = {2010}, pages = {1-6}, keywords = {Attention, Neural networks, Lateral inhibition, WTA}, isbn = {978-1-4244-6916-1}, title = {A competitive network for multi-object selection}, keyword = {Attention, Neural networks, Lateral inhibition, WTA}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Barcelona, \v{S}panjolska} }




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