Naslov
A Neurodynamic Model of Feature-Based Spatial Selection

Autori
Marić, Mateja ; Domijan, Dražen

Izvornik
Frontiers in Psychology (1664-1078) 9 (2018), 417; 1-22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
boolean map, feature-based attention, lateral inhibition, neural network, winner-take-all

Sažetak
Huang and Pashler (2007) suggested that feature- based attention creates a special form of spatial representation, which is termed a Boolean map. It partitions the visual scene into two distinct and complementary regions: selected and not selected. Here, we developed amodel of a recurrent competitive network that is capable of state- dependent computation. It selects multiple winning locations based on a joint top-down cue. We augmented a model of the WTA circuit that is based on linear-threshold units with two computational elements: dendritic non-linearity that acts on the excitatory units and activity- dependent modulation of synaptic transmission between excitatory and inhibitory units. Computer simulations showed that the proposed model could create a Boolean map in response to a featured cue and elaborate it using the logical operations of intersection and union. In addition, it was shown that in the absence of top-down guidance, the model is sensitive to bottom-up cues such as saliency and abrupt visual onset.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)

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