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Browsing by Subject "Boundary segmentation"
Now showing items 1-5 of 5
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-01)A neural network system for boundary segmentation and surface representation, inspired by a new local-circuit model of visual processing in the cerebral cortex, is used to enhance images of range data gathered by a synthetic ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-06)Visual search data are given a unified quantitative explanation by a model of how spatial maps in the parietal cortex and object recognition categories in the inferotemporal cortex deploy attentional resources as they ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-01)A self-organizing ARTEX model is developed to categorize and classify textured image regions. ARTEX specializes the FACADE model of how the visual cortex sees, and the ART model of how temporal and prefrontal cortices ...
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(Boston University Computer Science Department, 2001-04)This article further develops the FACADE neural model of 3-D vision and figure-ground perception to quantitatively explain properties of the McCollough effect. The model proposes that many McCollough effect data result ...
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(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-06)How the brain generates visual percepts is a central problem in neuroscience. We propose a detailed neural model of how LGN and the interblob cortical stream through V1 and V2 generate context-sensitive perceptual groupings ...
Now showing items 1-5 of 5
