Receptive Field Encoding is a computational framework in sensory coding that characterizes how neurons represent spatial or spatiotemporal stimulus features within their responsive regions by selectively encoding local inputs through structured sensitivity profiles.
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Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu, Li Shen, Samuel Albanie et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2019 · 12.5K citations
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University of California, Berkeley
Berkeley, United States
35 h-index
110 publications
14.7K citations
Harvard University
Cambridge, United States
30 h-index
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3.9K citations
University of Oxford
Oxford, United Kingdom
24 h-index
74 publications
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Stanford University
Stanford, United States
23 h-index
70 publications
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Chinese Academy of Sciences
Beijing, China
23 h-index
83 publications
44.3K citations
Johns Hopkins University
Baltimore, United States
21 h-index
62 publications
5.1K citations
Massachusetts Institute of Technology
Cambridge, United States
20 h-index
52 publications
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New York University
New York, United States
19 h-index
44 publications
7.3K citations
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JN · 145 publications · 24K citations
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76 publications · 9.6K citations
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- Experimental Brain Research
67 publications · 4.8K citations
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- Vision Research
59 publications · 9.5K citations
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43 publications · 2.8K citations
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