Population Decoding
Population Decoding is a neural decoding method that infers external stimuli or behavioral variables from the collective activity patterns of a population of neurons, distinguishing itself from single-unit approaches by leveraging distributed representational codes across multiple simultaneously recorded neural signals.
91
Publications
8.7K
Citations
275
Authors
160
Institutions
Publications per year
2017–2026
29
91
Efficiency and ambiguity in an adaptive neural code
Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek et al. · Nature · 2001 · 897 citations
Adaptive coding of visual information in neural populations
Diego A. Gutnisky, Valentin Dragoi · Nature · 2008 · 365 citations
1–5 of 91
275
Salk Institute for Biological Studies, United States
4 publications · 228 citations
4
h-index
4
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4
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3
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3
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1–5 of 275
160

Salk Institute for Biological Studies
La Jolla, United States
6 h-index
10 publications
400 citations

Howard Hughes Medical Institute
Chevy Chase, United States
6 h-index
10 publications
428 citations
Max Planck Institute for Biological Cybernetics
Tübingen, Germany
5 h-index
16 publications
1.9K citations

Rice University
Houston, United States
5 h-index
8 publications
425 citations
New York University
New York, United States
5 h-index
12 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
11 publications
975 citations
Harvard University
Cambridge, United States
4 h-index
4 publications
411 citations
Oxford Centre for Computational Neuroscience
Oxford, United Kingdom
4 h-index
5 publications
568 citations
1–8 of 160
12 publications · 830 citations
12
h-index
9 publications · 1.2K citations
9
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8 publications · 2.1K citations
8
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6 publications · 163 citations
6
h-index
6 publications · 583 citations
6
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1–5