![]() Given these distinct levels of processing from the human visual system (HVS), a set of computational models are proposed in order to reproduce these eye movement patterns. Penacchio et al’s architecture 2 was inspired on such mechanism for predicting brightness induction in real images.Īll of these connections are projected to the superior colliculus (SC), which would generate either top-down or bottom-up control of eye movements by combining the neuronal activity from distinct brain areas on a unique map Egeth1997 WhiteMunoz2011. A model defining the primary visual cortex firing rate dynamics has been proposed in Zhaoping Li’s work 1, in which the lateral connections in V1 are found to extract visual saliency by detecting specific distractors (color, brightness, orientation and scale). However, most of these models have been built specifically for visual saliency, a characteristic that denies their biological plausibility of being a unified mechanism of V1 (found to be responsible for processes other than visual saliency). These saliency maps have been predicted using artificial as well as biologically-inspired models, taking up great results on any kind of stimuli. ![]() Attention maps, named saliency maps, are the representation of the most relevant cues that attract attention given a specific stimulus, either synthetic or real images. Attention processing mechanisms have been proved to be influenced by the primary visual cortex activity. ![]()
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