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Visual feature integration and the temporal correlation hypothesis
The mammalian visual system is endowed with a nearly infinite capacity for the recognition of patterns and objects. To have acquired this capability the visual system must have solved what is a fundamentally combinatorial problem. Any given image consists of a collection of features, consisting of l...
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Published in: | Annual review of neuroscience 1995, Vol.18 (1), p.555-586 |
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container_title | Annual review of neuroscience |
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creator | SINGER, W GRAY, C. M |
description | The mammalian visual system is endowed with a nearly infinite capacity for the recognition of patterns and objects. To have acquired this capability the visual system must have solved what is a fundamentally combinatorial problem. Any given image consists of a collection of features, consisting of local contrast borders of luminance and wavelength, distributed across the visual field. For one to detect and recognize an object within a scene, the features comprising the object must be identified and segregated from those comprising other objects. This problem is inherently difficult to solve because of the combinatorial nature of visual images. |
doi_str_mv | 10.1146/annurev.ne.18.030195.003011 |
format | article |
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M</creatorcontrib><title>Visual feature integration and the temporal correlation hypothesis</title><title>Annual review of neuroscience</title><addtitle>Annu Rev Neurosci</addtitle><description>The mammalian visual system is endowed with a nearly infinite capacity for the recognition of patterns and objects. To have acquired this capability the visual system must have solved what is a fundamentally combinatorial problem. Any given image consists of a collection of features, consisting of local contrast borders of luminance and wavelength, distributed across the visual field. For one to detect and recognize an object within a scene, the features comprising the object must be identified and segregated from those comprising other objects. This problem is inherently difficult to solve because of the combinatorial nature of visual images.</description><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Cortical Synchronization</subject><subject>Eye and associated structures. Visual pathways and centers. Vision</subject><subject>Fundamental and applied biological sciences. 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subjects | Animals Biological and medical sciences Cortical Synchronization Eye and associated structures. Visual pathways and centers. Vision Fundamental and applied biological sciences. Psychology Models, Neurological Pattern Recognition, Visual - physiology Photic Stimulation Reaction Time Time Factors Vertebrates: nervous system and sense organs |
title | Visual feature integration and the temporal correlation hypothesis |
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