Visual Feature Encoding
Visual Feature Encoding is a neurocomputational process in the primary visual cortex that represents elementary visual stimuli such as orientation, spatial frequency, and color through specialized neuronal response properties, distinguishing it from higher-level perceptual representations by its reliance on localized, bottom-up sensory input.
593
Publications
52.9K
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1.8K
Authors
669
Institutions
Publications per year
2017–2026
231
Parents
593
Invariant visual representation by single neurons in the human brain
Rodrigo Quian Quiroga, Leila Reddy, Gabriel Kreiman et al. · Nature · 2005 · 2K citations · Full text
Spontaneously emerging cortical representations of visual attributes
Tal Kenet, Dmitri Bibitchkov, Misha Tsodyks et al. · Nature · 2003 · 975 citations
Medicine, Neurobiology, Neuroscience +14
Simultaneous feature learning and hash coding with deep neural networks
Hanjiang Lai, Yan Pan, Ye Liu et al. · 2015 · 923 citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
17 h-index
34 publications
7.3K citations
Harvard University
Cambridge, United States
14 h-index
40 publications
5.9K citations
University of California, Berkeley
Berkeley, United States
13 h-index
35 publications
7.3K citations
University College London
London, United Kingdom
13 h-index
23 publications
1.2K citations

Kyoto University
Kyoto, Japan
12 h-index
20 publications
1.4K citations

University of Toronto
Toronto, Canada
11 h-index
29 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
35 publications
1.9K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
21 publications
857 citations
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31 publications · 4.1K citations
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31 publications · 2.1K citations
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Repository · 20 publications · 762 citations
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13 publications · 950 citations
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