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[Vol.30 No.4 contents]
Japanese/English
Full Text of this Articlein Japanese PDF (530K) |
| ArticleTitle | Neural network of visual saliency |
| Language | J |
| AuthorList | Masatoshi Yoshida |
| Affiliation |
Department of Developmental Physiology, the National Institute for Physiological Sciences School of Life Science, Graduate University for Advanced Studies |
| Publication | Japanese Journal of Neuropsychology: 30 (4), 268-276, 2014 |
| Received | |
| Accepted | |
| Abstract | 'Saliency' refers to visual properties that draw bottom-up attention via temporal and spatial configuration of visual stimuli. This review summarizes current findings about how neural network computes visual saliency. 'Saliency computational model' assumes information processing of visual stimuli via feature analysis, feature map, saliency map and attention guidance map. Previous studies of monkey neurophysiology and human functional imaging revealed that saliency is computed in our neural network as assumed in the saliency computational model. These studies suggest involvement of the primary visual cortex, the ventral visual pathway, parietofrontal network and the superior colliculus in saliency computation. |
| Keywords | saliency, attention, saccade, primary visual cortex, superior colliculus |
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