Information-theoretic Coding
Information-Theoretic Coding is a computational framework within sensory coding that uses principles from information theory to characterize how sensory stimuli are efficiently represented and transmitted through neural systems by quantifying the reduction of uncertainty in neural responses relative to stimulus information.
649
Publications
53.2K
Citations
1.3K
Authors
541
Institutions
Publications per year
2017–2026
116
Parents
649
Science and information theory
S. Charp · Journal of the Franklin Institute · 1956 · 1.5K citations
Elements of Information Theory
Simon J. D. Phoenix · Journal of Modern Optics · 1992 · 1.4K citations
Bernd Girod, A. Aaron, Shantanu Rane et al. · Proceedings of the IEEE · 2004 · 1.3K citations
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University of California, Berkeley
Berkeley, United States
19 h-index
45 publications
8.2K citations
Massachusetts Institute of Technology
Cambridge, United States
17 h-index
34 publications
3.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
17 h-index
43 publications
2.8K citations
Princeton University
Princeton, United States
16 h-index
42 publications
3K citations
Technion – Israel Institute of Technology
Haifa, Israel
13 h-index
19 publications
3.3K citations
California Institute of Technology
Pasadena, United States
13 h-index
25 publications
5.2K citations
Stanford University
Stanford, United States
13 h-index
22 publications
6.1K citations
Georgia Institute of Technology
Atlanta, United States
11 h-index
25 publications
3.5K citations
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86 publications · 12.4K citations
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JN · 17 publications · 2.3K citations
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Repository · 21 publications · 529 citations
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18 publications · 545 citations
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11 publications · 1.5K citations
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