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Autori: Domijan, Dražen
Naslov: A neural network model of the functional neuroimaging data on perceptual grouping
Izvornik: PerceptionPion , 2010. 46.
Skup: 33th European Conference on Visual Perception
Mjesto i datum: Lausanne, Švicarska, 22.-26.08. 2010.
Ključne riječi: Perceptual grouping; Functional neuroimaging; Neural metwork model
Sažetak:
A neural network is proposed to explain how different patterns of brain activations arise in functional MRI during viewing of stimuli of various level of complexity. The model implements object-based selection by global inhibition applied to all background spatial locations and local excitation which enable activity spreading along the locations of the figure. It is assumed that excitatory neurotransmission along the dendritic trees provides a major contribution to the blood-oxygen-level-dependent (BOLD) signal. Computer simulations showed that increased perceptual complexity of the stimulus lead to the reduction of BOLD signal in V1. On the other hand, LOC exhibits opposite pattern with strongest BOLD activation for images with 3D interpretation. This pattern of activation is observed when there is no distractors present in the visual field. In the task of collinear contour grouping (with many distracting Gabor patches) both V1 and LOC showed elevated BOLD signal when perceptual group (contour) is present compared to the control condition. Also, the model explicated how attention contributes to the perceptual grouping through differential neural activations in parietal cortex. The proposed model is consistent with the concepts of base and incremental grouping derived from electrophysiological studies.
Vrsta sudjelovanja: Poster
Vrsta prezentacije u zborniku: Sažetak
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 009-0362214-0818
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Psihologija
URL Internet adrese: http://www.perceptionweb.com/abstract.cgi?id=v100410
Upisao u CROSBI: Dražen Domijan (ddomijan@ffri.hr), 3. Pro. 2014. u 15:56 sati



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