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Pregled bibliografske jedinice broj: 262890

A Model of the Illusory Contour Formation Based on Dendritic Computation


Domijan, Dražen; Šetić, Mia; Švegar, Domagoj
A Model of the Illusory Contour Formation Based on Dendritic Computation // Abstracts of the 15th Annual Computational Neuroscience Meeting (CNS*2006)
Edinburgh: University of Edinburgh, 2006. str. 46-46 (poster, međunarodna recenzija, sažetak, znanstveni)


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Naslov
A Model of the Illusory Contour Formation Based on Dendritic Computation

Autori
Domijan, Dražen ; Šetić, Mia ; Švegar, Domagoj

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Abstracts of the 15th Annual Computational Neuroscience Meeting (CNS*2006) / - Edinburgh : University of Edinburgh, 2006, 46-46

Skup
Annual Computational Neuroscience Meeting (15 ; 2006)

Mjesto i datum
Edinburgh, Ujedinjeno Kraljevstvo, 16.07.2006. - 20.07.2006

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
contour integration; sendritic computation; illusory contours; recurrent excitation; top-down processing

Sažetak
We proposed a new model of the illusory contour formation based on the properties of dendritic computation. The basic elements of the network are a single excitatory cell with two dendritic branches and an inhibitory cell. Both dendritic branches behave as an independent linear unit with a threshold. They sum all excitatory input from the nearby collinear cells, and the inhibition from one collateral of the corresponding inhibitory cell. Furthermore, the output of dendritic branches multiplicatively interacts before it is send to the soma. The multiplication allows the excitatory cell to be active only if both of its branches receive enough excitation to reach the threshold. Computer simulations showed that the presented model of the illusory contour formation is able to perform perceptual grouping of nonadjacent collinear elements. It shows a linear response relationship with the input magnitude because dendritic inhibition counteracts recurrent excitation. The model can explain why illusory contours are stronger with irregular placement of inducing elements rather than regular placement and why top-down influences may prevent the illusory contour formation.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija



POVEZANOST RADA


Projekti:
0119265

Ustanove:
Filozofski fakultet, Rijeka

Profili:

Avatar Url Mia Šetić Beg (autor)

Avatar Url Domagoj Švegar (autor)

Avatar Url Dražen Domijan (autor)


Citiraj ovu publikaciju:

Domijan, Dražen; Šetić, Mia; Švegar, Domagoj
A Model of the Illusory Contour Formation Based on Dendritic Computation // Abstracts of the 15th Annual Computational Neuroscience Meeting (CNS*2006)
Edinburgh: University of Edinburgh, 2006. str. 46-46 (poster, međunarodna recenzija, sažetak, znanstveni)
Domijan, D., Šetić, M. & Švegar, D. (2006) A Model of the Illusory Contour Formation Based on Dendritic Computation. U: Abstracts of the 15th Annual Computational Neuroscience Meeting (CNS*2006).
@article{article, author = {Domijan, Dra\v{z}en and \v{S}eti\'{c}, Mia and \v{S}vegar, Domagoj}, year = {2006}, pages = {46-46}, keywords = {contour integration, sendritic computation, illusory contours, recurrent excitation, top-down processing}, title = {A Model of the Illusory Contour Formation Based on Dendritic Computation}, keyword = {contour integration, sendritic computation, illusory contours, recurrent excitation, top-down processing}, publisher = {University of Edinburgh}, publisherplace = {Edinburgh, Ujedinjeno Kraljevstvo} }
@article{article, author = {Domijan, Dra\v{z}en and \v{S}eti\'{c}, Mia and \v{S}vegar, Domagoj}, year = {2006}, pages = {46-46}, keywords = {contour integration, sendritic computation, illusory contours, recurrent excitation, top-down processing}, title = {A Model of the Illusory Contour Formation Based on Dendritic Computation}, keyword = {contour integration, sendritic computation, illusory contours, recurrent excitation, top-down processing}, publisher = {University of Edinburgh}, publisherplace = {Edinburgh, Ujedinjeno Kraljevstvo} }




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