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Can object category-selectivity in the ventral visual pathway be explained by sensitivity to low-level image properties?
While object recognition typically feels effortless, it is one of the most computationally impressive feats performed by the human visual system. Due to its importance as an end stage of visual processing, a great deal of research has focused on characterizing those regions of the brain responsible...
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Published in: | The Journal of neuroscience 2014-11, Vol.34 (45), p.14817-14819 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | While object recognition typically feels effortless, it is one of the most computationally impressive feats performed by the human visual system. Due to its importance as an end stage of visual processing, a great deal of research has focused on characterizing those regions of the brain responsible for representing object categories. Congruent with research in monkeys, regions of the ventral visual pathway in humans are category-selective. Compared with the large number of possible object categories, the number of anatomically distinct regions with specific category selectivity is limited. Recent advances in neuro imaging methods such as multivoxel pattern analysis (MVPA) have revealed a more complex and distributed neural architecture of category selectivity in the ventral stream (Haxby et al., 2001; Carlson et al., 2003; Kriegeskorte et al., 2008). |
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ISSN: | 0270-6474 1529-2401 |
DOI: | 10.1523/JNEUROSCI.3566-14.2014 |