Information-theoretic Neural Coding
Information-Theoretic Neural Coding is a theoretical framework within neural encoding that employs principles of information theory to quantify and analyze how neurons represent, transmit, and process sensory or cognitive information through patterns of neural activity.
126
Publications
10.1K
Citations
278
Authors
148
Institutions
Publications per year
2017–2026
16
Parents
126
Entropy and Information in Neural Spike Trains
Steven Strong, R. Köberle, Rob R. de Ruyter van Steveninck et al. · Physical Review Letters · 1998 · 999 citations
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148
Harvard University
Cambridge, United States
9 h-index
18 publications
967 citations
Princeton University
Princeton, United States
8 h-index
12 publications
2.3K citations

Newcastle University
Newcastle upon Tyne, United Kingdom
8 h-index
32 publications
1.6K citations
University of Oxford
Oxford, United Kingdom
7 h-index
17 publications
1.9K citations

Scuola Internazionale Superiore di Studi Avanzati
Trieste, Italy
6 h-index
10 publications
661 citations
University of Florida
Gainesville, United States
5 h-index
13 publications
496 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
928 citations
University of California, Berkeley
Berkeley, United States
4 h-index
13 publications
1.4K citations
1–8 of 148
17 publications · 701 citations
15
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10 publications · 835 citations
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JN · 6 publications · 936 citations
6
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5 publications · 615 citations
5
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4 publications · 90 citations
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