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Browsing by Subject "Surface perception"
Now showing items 1-8 of 8
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-05)A neural network theory of :3-D vision, called FACADE Theory, is described. The theory proposes a solution of the classical figure-ground problem for biological vision. It does so by suggesting how boundary representations ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-07)
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-07)Under natural viewing conditions, a single depthful percept of the world is consciously seen. When dissimilar images are presented to corresponding regions of the two eyes, binocular rivalyr may occur, during which the ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-01)How does the laminar organization of cortical circuitry in areas VI and V2 give rise to 3D percepts of stratification, transparency, and neon color spreading in response to 2D pictures and 3D scenes? Psychophysical experiments ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-08)This article develops a neural model of how the visual system processes natural images under variable illumination conditions to generate surface lightness percepts. Previous models have clarified how the brain can compute ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-02)This study develops a neuromorphic model of human lightness perception that is inspired by how the mammalian visual system is designed for this function. It is known that biological visual representations can adapt to a ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-10)A neural network model of 3-D visual perception and figure-ground separation by visual cortex is introduced. The theory provides a unified explanation of how a 2-D image may generate a 3-D percept; how figures pop-out from ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-03)
Now showing items 1-8 of 8
