Titlebook: Computational and Cognitive Neuroscience of Vision; Qi Zhao Book 2017 Springer Science+Business Media Singapore 2017 Artificial Visual Sys

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https://doi.org/10.1007/978-981-10-0213-7Artificial Visual Systems; Brain Mapping; Cognitive Vision; Computational Neuroscience/vision; Human Com

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W. I. Fushchich,W. M. Shtelen,N. I. Serovting behavior relies on a distributed network of cortical and subcortical brain areas. The neural basis of orienting is theorized to be under the control of two general mechanisms: One mechanism transforms complex visual input into a spatial map that highlights the most visually conspicuous location

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2 Spontaneous Symmetry Breaking,e into characterizing input-output relationships across areas of the visual cortex (Dicarlo et al. .), which has yielded an array of computational models. These models have, however, typically focused on one or very few visual areas, modules (form, motion, depth, color) or functions (e.g., object re

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Symmetries of a Classical System cute dog (physical stimulus) may elicit a feeling of warmth and affection (psycho state), and psychophysics studies how specific attributes (breed, size, smell, etc.) of the dog relate to our feelings.

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https://doi.org/10.1007/978-3-662-62166-0s on the relative saliency of one object with respect to others in the scene. Simple examples are a red spot on a green background, a horizontal bar among vertical bars, or a sudden onset of motion. Researchers have introduced the idea of a saliency map, an abstract and featureless map of the ‘winne